Speech analysis and transcription tools

Tools for the acoustic analysis of speech

Tools for labelling and annotation of speech corpora

Anvil, M. Kipp, DFKI, German Research Center for Artificial Intelligence


“Anvil is a free video annotation tool, used at research institutes world-wide. It offers frame-accurate, hierarchical multi-layered annotation driven by user-defined annotation schemes. The intuitive annotation board shows color-coded elements on multiple tracks in time-alignment. Special features are cross-level links, non-temporal objects and a project tool for managing multiple annotations. Originally developed for Gesture Research, Anvil has also proved suitable for research in Human-Computer Interaction, Linguistics, Ethology, Anthropology, Psychotherapy, Embodied Agents, Computer Animation and many other fields.

Anvil can import data from the widely used, public domain phonetic tools PRAAT and XWaves which allow precise and comfortable speech transcription. Anvil can display waveform and pitch contour. Anvil’s data files are XML-based. Special ASCII output can be used for import in statistical toolkits like SPSS. The Anvil system is written in Java and should run on Windows, Macintosh and Unix (Solaris/Linux) computers.”



Audiamus, N. Thieberger


“A tool for building corpora of linked transcripts and digitised media.

Audiamus instantiates the links to digitised media. It requires no segmentation of the sound/video file. Currently there is no limit to the size of the media file or the number of transcripts. Each ’card’ of the current model represents a single transcript (typically a complete side of a cassette). Time-aligned transcripts, as produced for example by SoundIndex or Transcriber are the input for Audiamus.

The transcripts in Audiamus are plain text and can be edited, as can the timecodes. Thus the data in Audiamus is the master copy of the transcript that is improved incrementally with use. To avoid the problem of data being locked up in proprietary formats there is a mass export function that dumps all linked text and timecodes to plain text files, or to whatever format the user selects.”


CECIL, CCS Software Development





“WinCECIL is a speech analysis tool based on the DOS CECIL version 2.1 program. WinCECIL provides support forrecording, analyzing, and saving of 3 second sections of speech. WinCECIL requires a 20MHz 80386 computer or better running Microsoft Windows 3.1 or higher. It also requires a Windows Multimedia-compatible sound card.

Use this program to view speech recordings, automatic pitch contours, and spectrograms. Recording limit is 3 seconds.

Most of the functions of the WinCECIL program has been superseded by the Speech Analyzerprogram.

MacCECIL is a speech analysis tool based on the Windows WinCECIL version 2.1 program. MacCECIL is designed for use on Mac computers.

MacCECIL provides support for recording, analyzing, and saving of speech. Use this program to view speech recordings, automatic pitch contours, and spectrograms. Recording limit is 3 seconds.”


CSL, Computerized Speech Lab, Kay Elemetrics


“CSL is the most comprehensive PC-based system available for speech acquisition, analysis, editing, and playback. An integrated hardware/software system, the versatile platform is recognized internationally by both clinicians and researchers for its unique combination of sophistication, flexibility, and ease-of-use.

The system’s robust hardware meets the rigorous specifications required by speech professionals and researchers. It contains an external module for high-fidelity data acquisition (>86 dB dynamic range), DSP circuitry for real-time processing/display of speech parameters needed for therapy applications, and CD-quality playback for critical listening tasks. The core software is fully integrated with the hardware. It contains a rich set of easily applied analysis and editing features and is complemented by 15 applicationspecific (e.g., clinical, linguistic, etc.) software modules and databases.

Built on Kay’s decades of experience in speech analysis, the CSL accommodates the many and varied needs of speech/voice clinicians, phoneticians, speech scientists, phoniatricians, and otolaryngologists. CSL was developed jointly with Speech Technology Research (STR) of Victoria, B.C., Canada

Current CSL options include:


CSLU Toolkit, Center for Spoken Language Understanding, Oregon Graduate Institute


“The CSLU Toolkit has been supporting research, development and learning activities for spoken language systems since January, 1996. It is designed to support a wide range of research activities, including data capture and analysis, corpus development, research in multilingual recognition and understanding, dialogue design, speech synthesis speaker recognition and language recognition, among others. In addition, the Toolkit provides easy to use graphical authoring tools (CSLUrp) for rapid prototyping of spoken language systems for useful applications. Finally, the toolkit is designed to provide a good environment for learning about spoken language technology. The Toolkit hasbeen used to teach short courses, and students taking these courses have produced novel and useful spoken language systems, as described on our shortcourse page.

The Toolkit currently runs on Unix platforms which have Tcl/Tk (freely available).

The Toolkit is available free of charge for non commercial use. The license agreement that you accept before downloading the Toolkit says basically that you won’t give the Toolkit away or profit from it financially.”


Dolmen, J. Eychenne, Hankuk University of Foreign Studies

Eychenne, J. (2014). Dolmen [Computer software]. Retrieved from http://julieneychenne.info/dolmen/

“Dolmen is a free, open-source software toolbox for data analysis in linguistics. It offers a user-friendly interface to manage, annotate and query language corpora. It is particularly well suited for dealing with time-aligned data. The main features it offers are:

Dolmen runs on all major platforms (Windows, Mac OS X and GNU/Linux) and is freely available under the terms of the GNU General Public License (GPL).”


ELAN, EUDICO Linguistic Annotator, Max Plank Institute for Psycholinguistics

ELAN - Linguistic annotator. Language archiving technology portal [Computer Software]. Nijmegen: Max Planck Institute for Psycholinguistics. Retrieved from https://tla.mpi.nl/tools/tla-tools/elan/

“ELAN (EUDICO Linguistic Annotator) is an annotation tool that allows you to create, edit, visualize and search annotations for video and audio data. It was developed at the Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands, with the aim to provide a sound technological basis for the annotation and exploitation of multi-media recordings. ELAN is specifically designed for the analysis of language, sign language, and gesture, but it can be used by everybody who works with media corpora, i.e., with video and/or audio data, for purposes of annotation, analysis and documentation.

ELAN supports:


ELAN - Linguistic annotator. Language archiving technology portal [Computer Software]. Nijmegen: Max Planck Institute for Psycholinguistics. Retrieved from https://tla.mpi.nl/tools/tla-tools/elan/


ELAN - Linguistic annotator. Language archiving technology portal [Computer Software]. Nijmegen: Max Planck Institute for Psycholinguistics. Retrieved from https://tla.mpi.nl/tools/tla-tools/elan/


GIPOS, Institute for Perception Research, Eindhoven


“GIPOS stands for Graphical Interactive Processing of Speech. It is an integrated speech processing program. It provides the tools you need to create, view, play and manipulate waveforms, spectrograms and other forms of speech data. You’ll find:

GIPOS is designed to run on different platforms (SilliconGraphics, SUN and PC (Windows95 and Linux) only for the time being).”


ISA, Intelligent Speech Analyser, Oy Pitchsystems Ltd.

“The main scopes of application include:

All the analysis programs have been written using a machine language, because in this way ISA is many times faster than using a high level language. ISA is the unique software in the world. The use of ISA is very simple. All the analyses have their own windows. All the functions of the ISA are controlled by the mouse. All the displays can be listened to. ISA-software is running in Apple Macintosh computer.”


lingWaves, LingCom

“lingWAVES represents a modern tool to analyze technical signals on the PC, mainly used for speech and video recordings. The program offers numerous long and short time analyses (time signal, FFT, fundamental frequency, spectrogram...) and is easy to handle.



MacquirerX / PCquirerX, Scicon R&D, Inc.


“PCquirer & Macquirer features include:



MATLAB Signal Processing Toolbox, The Math Works Inc.


“The Signal Processing Toolbox provides a rich, customizable framework for digital signal processing (DSP). Built on a solid foundation of filter design and spectral analysis techniques, the toolbox contains powerful tools for algorithm development, signal and linear system analysis, and time-series data modeling. The toolbox is useful in applications such as speech and audio processing, communications, geophysics, real-time control, finance, radar, and medicine.

Signal and linear system models:


ONZE Miner, R. Fromont - J. Hay, Linguistics Department, University of Canterbury, New Zealand.


“ONZE Miner is essentially a database for time-aligned transcripts of audio recordings. Time-aligned transcripts are produced using Transcriber, which creates an XML document lining up the transcript text with the corresponding location in the audio recording. The transcript is then uploaded to ONZE Miner, which allows additional information about the speakers and the transcripts to be stored.

When the speakers have been selected, their utterances can be searched for text or regular expressions.

This returns a list of all of the utterances from the selected transcripts which match the query.

Alternatively, clicking on an utterance returned by the search produces the full transcript for the speaker involved, positioned with the relevant utterance at the top of the screen. Any part of the transcript can be clicked on, and listened to, if the audio media are available.

Clicking on the Praat icon to the left of any given utterance opens that utterance in Praat acoustic analysis software, so that its acoustic properties can be inspected. In addition, a Praat text-grid for the transcript can be generated.”



Phon, The PhonBank Project, CHILDES (Child Language Data Exchange System), TalkBank

Rose, Y., & Hedlund, G. (2015). Phon [Computer software]. The PhonBank Project, CHILDES (Child Language Data Exchange System), TalkBank. Retrieved from https://www.phon.ca

“Phon is a software program that greatly facilitates a number of tasks related to the analysis of transcript-based and acoustically-measured speech data. Built to support research in phonological development (including babbling), second language acquisition, and phonological disorders, Phon can also be used for virtually all types of phonological investigations (e.g. loanword phonology, fieldwork in phonology, sociolinguistic studies). Phon supports multimedia data linkage, unit segmentation (e.g. utterance, word), multiple-blind transcription, automatic labeling of data (features, syllabification), and systematic comparisons between target (model) and actual (produced) phonological forms. Phon is also equipped with many facilities for data analysis, including query methods for phonology (e.g. phones, features, syllables, ...) as well as acoustic data.

Version 2 of Phon brings together two of the most important areas of empirical investigation in the are of child phonology, as it integrates transcript-based analyses of phonological data with the facilities for acoustic analysis provided by Praat. With this new version of Phon, and in addition to the functions listed above, the user can now:

All of these functions are accessible through a user-friendly graphical interface. Databases managed within Phon can also be queried using a powerful search system adapted for the needs of the phonologist. This software program works on Mac OS X, Windows and Linux platforms and is compliant with the CHILDES (TalkBank) XML data format. Phon is being made freely available to the community as open-source software. Phon facilitates data exchange among researchers and is currently used for the elaboration of the shared PhonBank database, designed to support empirical needs of research in all areas of phonology and phonological development.”


Rose, Y., & MacWhinney, B. (2014). The PhonBank Project: Data and software-assisted methods for the study of phonology and phonological development. In J. Durand, U. Gut, & G. Kristoffersen (Eds.), The Oxford handbook of corpus phonology (pp. 308-401). Oxford: Oxford University Press. Retrieved from http://www.ucs.mun.ca/~yrose/Publications/files/2014-Rose_MacWhinney-PhonBank.pdf


Rose, Y., & MacWhinney, B. (2014). The PhonBank Project: Data and software-assisted methods for the study of phonology and phonological development. In J. Durand, U. Gut, & G. Kristoffersen (Eds.), The Oxford handbook of corpus phonology (pp. 308-401). Oxford: Oxford University Press. Retrieved from http://www.ucs.mun.ca/~yrose/Publications/files/2014-Rose_MacWhinney-PhonBank.pdf


Phonédit Multimedia Signal Editor and Analyser, Laboratoire Parole et Langage, Université de Provence


“PHONÉDIT is a signal editor that permits to record, edit, labelize, and analyse various types of signals. This software is dedicated to speech analysis. However it has the capability to analyse also aerodynamic parameters, electro-palatographic frames and kynesiographic movements.

It reads and writes the most common kind of file formats like MS-WAVE, CSL, Signalyze, ASCII, or raw binaries.

Many functions are applicable on the edited signals:

PHONÉDIT integrates also a limited spreadsheet for data storage able to communicate with other applications like Microsoft Excel, Word, Access or Powerpoint.

PHONÉDIT is a standard multi-document application for windows 16 bits which supports : drag and drop, printing, copy/paste, context menus, data security, data recording/listening.

PHONEDIT operates on all computer compatible PC.”


PitchWorks, Scicon R&D


“PitchWorks is the next standard for pitch, labeling, and other intonation related studies.

PitchWorks uses the most sophisticated, Cepstral based pitch track engine along with the best spectrographic display to produce a series of displays for inspection.

The cursor for the main window of audio, labels, and pitch is fully linked with the spectrogram window. The selection in one, translates into the other, for more accurate measurement.

The log file keeps track of all the label information entries in the background. Thus, purely text formatted file can be imported into any other data basing programs such as EXCEL.

PitchWorks reads a wide variety of file formats, including: Xwaves and ESPS, NIST - LDC, Waves, CSL(nsp), Generic, ASCII, AIFF...

Pitch Works runs on both PC and Mac with all their files fully interchangeable.”


Praat, P. Boersma - D. Weenink, Institute of Phonetic Sciences, University of Amsterdam

Boersma, P., & Weenink, D. (2017). Praat: Doing phonetics by computer [Computer software]. Amsterdam: Department of Language and Literature, University of Amsterdam. Retrieved from http://www.praat.org/

“The computer program Praat is a research, publication, and productivity tool for phoneticians.

This comprehensive speech analysis, synthesis, and manipulation package includes general numerical and statistical stuff, is built on a general-purpose GUI shell for handling objects, and produces publication-quality graphics.

Speech analysis:

Speech synthesis:

Listening experiments:

Labelling and segmentation:

Speech manipulation:

Learning algorithms:






Versions for Macintosh, Windows, Linux, FreeBSD, SGI, Solaris, HPUX”


Boersma, P., & Weenink, D. (2016). Praat: Doing phonetics by computer. [Computer Software] Amsterdam: Department of Language and Literature, University of Amsterdam. Retrieved from http://www.praat.org/


Boersma, P., & Weenink, D. (2016). Praat: Doing phonetics by computer. [Computer Software] Amsterdam: Department of Language and Literature, University of Amsterdam. Retrieved from http://www.praat.org/


Boersma, P., & Weenink, D. (2016). Praat: Doing phonetics by computer. [Computer Software] Amsterdam: Department of Language and Literature, University of Amsterdam. Retrieved from http://www.praat.org/


Boersma, P., & Weenink, D. (2016). Praat: Doing phonetics by computer. [Computer Software] Amsterdam: Department of Language and Literature, University of Amsterdam. Retrieved from http://www.praat.org/

Scripts for Praat

Atria, J. J. (2014). Praat scripts. Scripts. London: Speech Hearing and Phonetic Sciences, University College London. Retrieved from http://www.ucl.ac.uk/~ucjt465/scripts/praat.html

Crosswhite, K. (2007). Praat scripts and other materials. Rochester, NY: Center for the Sciences of Language, University of Rochester. Retrieved from http://web.archive.org/web/20030620172734/ling.rochester.edu/people/cross/scripts.html

de Looze, C. (n.d.). Praat scripts. Resources. Dublin: Reilly Lab, Trinity Centre for Bioengineering, Trinity College Dublin. Retrieved from http://celinedelooze.com/Homepage/Resources.html

Dellwo, V. (2015). Praat plug-ins and scripts. Material. Zƒrich: Phonetics Laboratory, University of Zurich. Retrieved from http://www.pholab.uzh.ch/en/leute/dellwo/software.html

Grawunder, S. (n.d.). Praat scripts. Leipzig: Department of Linguistics, Max-Planck-Institute for Evolutionary Anthropology. Retrieved from http://email.eva.mpg.de/~grawunde/praat/praat_SG.htm

Kawahara, S. (2010). Scripts. Resources. Tokyo: The Institute of Cultural and Linguistic Studies, Keio University. Retrieved from http://user.keio.ac.jp/~kawahara/resource.html

Lennes, M. (2017). SpeCT - Speech Corpus Toolkit for Praat. First release on GitHub [Data set]. Zenodo. Retrieved from http://doi.org/10.5281/zenodo.375923

Lœvenbruck, H. (n.d.). Praat scripts. Grenoble: Laboratoire de Psychologie et Neurocognition, Université Pierre Mendès-France. Retrieved from http://lpnc.univ-grenoble-alpes.fr/Helene-Loevenbruck?lang=fr#Tools

Praat Scripts. (n.d.). Lab Tools. Evanston, IL: Speech Communication Research Group, Department of Linguistics, Northwestern University. Retrieved from http://groups.linguistics.northwestern.edu/speech_comm_group/labtools.html

Praat script resources. (2009). Los Angeles, CA: UCLA Phonetics Laboratory, Department of Linguistics, University of California Los Angeles. Retrieved from http://www.linguistics.ucla.edu/faciliti/facilities/acoustic/praat.html

Remijsen, B. (2011). Bert Remijsen’s Praat scripts. Edinburgh: Linguistics & English Language Department, The University of Edinburgh. Retrieved from http://www.lel.ed.ac.uk/~bert/praatscripts.html

Sadowsky, S. (2016). Recursos de Praat. Software y Scripts. Santiago de Chile: Universidad Católica de Chile. Retrieved from http://sadowsky.cl/praat-es.html

Scripts. (2015). Software and Resources. Victoria, BC: Department of Linguistics, University of Victoria. Retrieved from http://www.uvic.ca/humanities/linguistics/resources/software/index.php

Toscano, J. (n.d.). Praat Script Archives. Retrieved from http://sites.google.com/site/praatscripts/

Praat manuals, tutorials and support


Praat User’s Group

Speech analysis tools: Praat


Prosogram, P. Mertens, Department of Linguistics, KU Leuven


“Transcription of prosody using pitch contour stylization based on a tonal perception model and automatic segmentation

Processing steps:

The system is implemented as a Praat script.”


SFS, Speech Filing System, University College London


“SFS provides a computing environment for conducting research into the nature of speech. It comprises software tools, file and data formats, subroutine libraries, graphics, standards and special programming languages. It performs standard operations such as acquisition, replay, display and labelling, spectrographic and formant analysis and fundamental frequency estimation.

Analysis programs:

SFS is copyrighted University College London, but is currently supplied free of charge to research establishments for non-profit use. SFS is supplied as is with no warranty or support.

Operating environments:
WIN32: Microsoft Visual C, WIN32 API. Windows 95/98/NT/2000.
Unix: GNU gcc compiler and X-Windows. SunOs, Solaris, Linux, etc.
MSDOS: Protected mode 32-bit with GNU compiler DJGPP. ”


SFS/RTGRAM, Department of Phonetics and Linguistics, University College London


“RTGRAM is a free program for displaying a real-time scrolling spectrographic display of an audio signal. With RTGRAM you can monitor the spectro-temporal characteristics of sounds being played into the computer’s microphone or line input ports. RTGRAM is optimised for speech signals and has options for different sampling rates, analysis bandwidths, temporal resolution and colour maps.”


Signalyze, LinguistList Plus Inc.

“Signalyze 3.0 is an interactive program for the analysis of speech and other acoustic material. It contains a large set of signal editing, signal analysis and signal manipulation tools.

Signalyze 3.0 runs (only) on Macintosh computers. Signalyze 3.0 runs on almost all versions of the Macintosh. With a Macintosh AV or a Power Macintosh, you have all you need to record, analyze and reproduce professional 16-bit sound.

Signalyze can be used to:

Make stimuli for perception experiments

Perform interactive speech analysis

Teach foreign languages


Sona, IKP, Institute for Communications Research and Phonetics, University of Bonn

“The program SONA is a versatile experimental tool for finding and visualizing relevant information in both the time and the frequency domain of a speech signal.

In the time domain, the program allows:

Furthermore, the segments can be marked and transcribed phonetically (Labeling).

In the frequency domain (lower half of the screen), the program generates a digital spectral analysis of the speech signal in 2D or 3D. The 3D representation of the time dependent power spectrum is known as Visible Speech or sonagram and is one of the most important practical tools of linguistics and phonetics. Sonagrams are represented in gray scale or colour coding in one of five frequency sections (0.5 to 8 KHz) with variable breadth. One mouse click enables the user to listen to a selected segment or measure frequency and intensity of its spectrum.

The program runs on normal PCs (486 and higher) equipped with 16-Bit-Soundblaster, Extended Memory and ET 4000 graphics card.”


Sonogram, C. Lauer


“Sonogram is a highly flexible audio spectrum analyzer for the analysis of sound, music and speech signals in the frequency-domain using different new algorithms.”

Disponible para Windows, MacOSX y Linux/Unix.


SoundIndex, M. Jacobson


“SoundIndex est un outil qui alie un éditeur de texte structuré en XML avec un éditeur de son. Il permet d’écrire des tags <audio> à n’importe quel niveau dans l’arborescence d’un fichier XML en mettant comme valeurs pour les attributs start et end celles qui sont lues dans l’éditeur de son. L’interprétation des tags <audio> se fait par le biais de feuilles de styles écrites en XSL.”


SoundScope, GW Instruments


“SoundScope software digitizes, analyzes, presents and databases speech and sound waveforms on Macintosh computers.

SoundScope is a third generation speech and sound analysis product line that represents a breakthrough in ease-of-use and advanced features.

Record a sound, perform analysis, extract key values, and compute statistics all with a few clicks of the mouse. Scroll through data, adjust the scale or display range, and even change the parameters for sound analysis computations.


Speech Analyzer, CCS Software Development


“Speech Analyzer has been primarily designed to be used by anyone who is doing investigative research into the phonetics of a language. It is a component of the Acoustic Speech Analysis Project and is one of the 5 Speech Analysis Tools and currently works on Microsoft Windows based computers. It does not need any special hardware but does makes use of any standard Windows compatable sound card for the playback of recordings. Speech Analyzer has been designed such that it is able to read and write standard Windows .WAV files.

When Speech Analyzer is used as a stand-alone program it is able to read and write standard Windows .WAV files. Additionally it keeps user supplied data including the IPA phonetic transcription inside a custom defined region within the .WAV file. During normal operations Speech Analyzer provide the user with a digital waveform view of recorded speech signals. It can also present several other possible views of the speech signal including Magnitude, Pitch, Spectra and color Spectrogram. The 5 levels of transcription: Phonetic, Pitch, Phonemic, Orthographic, and Gloss are time aligned to the waveform and provide segmentation of the recording.


SpeechStudio, Laryngograph Ltd.


“Speech Studio is a software and hardware package, which has been specially designed for phoneticians, speech scientists and quantitative work by ENT clinicians and SLT’s. It supports data recording direct to hard disk, real-time displays, and instantaneous quantitative analysis and pattern target mode for speech training.

Speech Studio software is Windows-based, user friendly, and feature rich.

Speech Studio also includes a very powerful program, which can make an extensive range of quantitative analysis on connected speech. It is seamlessly integrated with the data recording and display program. It can work on different kinds of speech pattern elements and produce powerful graph families. The speech elements include fundamental frequency, speech amplitude, contact quotient, nasality and friction.”


Transana, Wisconsin University


“Transana is designed to facilitate the transcription and qualitative analysis of video and audio data. It provides a way to view video or play audio recordings, create a transcript, and link places in the transcript to frames in the video. It provides tools for identifying and organizing analytically interesting portions of video or audio files, as well as for attaching keywords to those video or audio clips. It also features database and file manipulation tools that facilitate the organization and storage of large collections of digitized video.”



TranscriberAG. A tool for segmenting, labeling and transcribing speech. [Computer Software] Paris: DGA. Retrieved from http://transag.sourceforge.net/

“TranscriberAG is designed for assisting the manual annotation of speech signals. It provides a user-friendly graphical user interface (GUI) for segmenting long duration speech recordings, transcribing them, labeling speech turns, topic changes and acoustic conditions.

TranscriberAG is geared toward the needs of the speech research community, but its features might be found useful for other applications. It uses the Annotation Graph format as native format but can read a number of other annotation formats.

TranscriberAG is distributed as free software under the GNU General Public License GPLv3.”


TranscriberAG. A tool for segmenting, labeling and transcribing speech. [Computer Software] Paris: DGA. Retrieved from http://transag.sourceforge.net/


TranscriberAG. A tool for segmenting, labeling and transcribing speech. [Computer Software] Paris: DGA. Retrieved from http://transag.sourceforge.net/


WaveSurfer, Centre for Speech Technology, KTH


“WaveSurfer is an Open Source tool for sound visualization and manipulation. It has been designed to suit both novice and advanced users. WaveSurfer has a simple and logical user interface that provides functionality in an intuitive way and which can be adapted to different tasks. It can be used as a stand-alone tool for a wide range of tasks in speech research and education. Typical applications are speech/sound analysis and sound annotation/transcription. WaveSurfer can also serve as a platform for more advanced/specialized applications. This is accomplished either through extending the WaveSurfer application with new custom plug-ins or by embedding WaveSurfer visualization components in other applications.


WEDW Edit Waveform Program, Speech Research Lab, University of Delaware - A.I. duPont Hospital for Children


“Windows EDW (WEDW) is a fundamentally new program which attempts to provide similar functionality to the Unix/DOS version (EDW), but with a very different user interface.

WEDW retains some of the appearance of EDW in that a waveform display region is always present while spectrogram and pitch marking windows can be toggled on and off as desired. Both EDW and WEDW read and write waveforms in an extended RIFF (Microsoft .WAV) format that includes waveform segment definitions and both are also able to read an older .WAV format that was the original format used by EDW.

WEDW provides a way to display special symbols such as IPA phonetic symbols when a font for the symbols is available.

Prosodic features of duration, F0, and amplitude can be changed.”


Winpitch, Pitch Instruments Inc.



WinSnoori, BaBel Technologies


“For several years we have undertaken the development of the software WinSnoori which is for both speech scientists as a research tool and teachers in phonetics as an illustration tool. It consists of five types of tools:


xassp, IPDS Institut für Phonetik und digitale Sprachverarbeitung, Christian-Albrechts-Universität, Kiel


“xassp is an application for displaying, analysing and processing speech signals. It is intended for segmental and prosodic labelling, but can be used for different purposes, because of its numerous configuration possibilities.

User-definable configurations allow to open several associated files together and to automatically perform certain analyses of the speech signal. The configuration Segmental, e.g., is intended for segmental labelling. The windows that are opened when choosing this configuration are:

The configuration Prosodic is used for prosodic labelling. When choosing this configuration the following windows are opened:

Although xassp is mainly intended for segmental and prosodic labelling, it provides several additional possibilities for analysing speech signals:



Tools for the acoustic analysis of speech

Tools for labelling and annotation of speech corpora

Speech analysis and transcription tools
Joaquim Llisterri, Departament de Filologia Espanyola, Universitat Autònoma de Barcelona

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