CSLUsh: an extendible research environment

Schalkwyk, Johan; Villiers, Jacques de; Vuuren, Sarel van; Vermeulen, Pieter

doi:10.21437/eurospeech.1997-241

Cited by 12 publications

(3 citation statements)

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“…There are numerous speech technology toolkits, specialising either in speech processing (SFS, [12], Snack, [17]), speech recognition (ISIP, [7], HTK, [19]), dialogue, (CSLU, [15]), annotation (EMU, [2], AGTK, [1]), speech analysis-visualisation (SAPPHIRE, [11], Wavesurfer, [16]). STRAPTk shares several common characteristics with these other toolkits and yet it is different in many aspects because of the specialisation in the domain of speech training.…”

Section: General Speech Application Requirementsmentioning

confidence: 99%

An integrated toolkit deploying speech technology for computer based speech training with application to dysarthric speakers

Hatzis¹,

Green²,

Carmichael³

et al. 2003

8th European Conference on Speech Communication and Technology (Eurospeech 2003)

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Computer based speech training systems aim to provide the client with customised tools for improving articulation based on audio-visual stimuli and feedback. They require the integration of various components of speech technology, such as speech recognition and transcription tools, and a database management system which supports multiple on-the-fly configurations of the speech training application. This paper describes the requirements and d e v e l o p m e n t o f STRAPTk ( www.dcs.shef.ac.uk/spandh/projects/straptk -Speech Training Application Toolkit) from the point of view of developers, clinicians, and clients in the domain of speech training for severely dysarthric speakers. Preliminary results from an extended field trial are presented.

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Section: General Speech Application Requirementsmentioning

confidence: 99%

An integrated toolkit deploying speech technology for computer based speech training with application to dysarthric speakers

Hatzis¹,

Green²,

Carmichael³

et al. 2003

8th European Conference on Speech Communication and Technology (Eurospeech 2003)

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“…The capabilities of these software tools also show a wide variation and exhibit a continuous adaptation to the everchanging needs and interests of the speech community. The open source model [1] is increasingly popular, as exemplified by toolkits such as the CSLU Toolkit [2], the Festival Speech Synthesis System [3], and the ISIP Automatic Speech Recognition Toolkit [4].…”

Section: Introductionmentioning

confidence: 99%

“…We did an initial survey of available tools such as Entropic's ESPS/waves+, the Speech viewer in the CSLU toolkit [2], Transcriber from DGA/LDC [5], Syntrillium's CoolEdit, SFS from University College London [6], EMU from Macquarie University [7], and Segmenter/Transcriber from ISIP, Mississippi State University [8]. None of these met all of our requirements, though each of them certainly surpassed them in at least one.…”

Section: Introductionmentioning

confidence: 99%

Wavesurfer - an open source speech tool

Sjölander

Beskow

2000

6th International Conference on Spoken Language Processing (ICSLP 2000)

202

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In the speech technology research community there is an increasing trend to use open source solutions. We present a new tool in that spirit, WaveSurfer, which has been developed at the Centre for Speech Technology at KTH. It has been designed for tasks such as viewing, editing, and labeling of audio data. WaveSurfer is built around a small core to which most functionality is added in the form of plug-ins. The tool has been designed to work on most common platforms and with the aims that it should be easy to configure and extend. WaveSurfer is provided as open source, under the GPL license with the explicit goal that the speech community jointly will improve and expand its scope and capabilities.

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