Difference between revisions of "UNTREF Speech Workshop"

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==What is it?==
 
==What is it?==
 
FestVox. CMU Speech group.
 
FestVox. CMU Speech group.
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[http://festvox.org/festival/index.html Festival] from University of Edinburgh.
 
[http://festvox.org/festival/index.html Festival] from University of Edinburgh.
  

Revision as of 03:45, 21 September 2013

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Introduction

How to Talk to Machines

A short 1-2 day workshop introducing speech recognition and speech synthesis techniques for the creation of interactive artwork. We use pre-compiled open-source tools (CMU Sphinx ASR, Festival TTS, Processing, Python) and focus on the demonstrable strengths and unexpected limitations of speech technologies as vehicles for creating meaning.

Saturday Sept 21, 2-6pm Centro Cultural de Borges UNTREF.


Background Reading:

  • If Things Can Talk, What Do They Say? If We Can Talk to Things, What Do We Say? Natalie Jeremijenko. 2005-03-05 [1]
    • also see the responses by Simon Penny, Lucy Suchmann, and Natalie linked from that page.
  • Dialogue with a Monologue: Voice Chips and the Products of Abstract Speech. [2]

Automatic Speech Recognition

What is it?

Installing CMU Sphinx

http://cmusphinx.sourceforge.net/wiki/download/

Language Models

Acoustic models versus language models.

Grammars versus Satistical Language Models.

Available language models. English, Mandarin, French, Spanish, German, Dutch and more: http://sourceforge.net/projects/cmusphinx/files/Acoustic%20and%20Language%20Models/

Using sphinx

  • open a terminal. Windows, Run->Cmd.
  • change to the pocketsphinx directory.
    • cd Desktop\untref_speech\pocketsphinx-0.8-win32\bin\Release
  • run the pocketsphinx command to recognize english:
    • pocketsphinx_continuous.exe -hmm ..\..\model\hmm\en_US\hub4wsj_sc_8k -dict ..\..\model\lm\en_US\cmu07a.dic -lm ..\..\model\lm\en_US\hub4.5000.DMP
  • recognize spanish:
    • pocketsphinx_continuous.exe -hmm ..\..\model\hmm\es_MX\hub4_spanish_itesm.cd_cont_2500 -dict ..\..\model\lm\es_MX\h4.dict -lm ..\..\model\lm\es_MX\H4.arpa.Z.DMP
    • this should transcribe live from the microphone.

Training your own Models

grammer is trivial.

slm, can use online tools. or try the sphinxtrain packages.

Programming with Speech Recognition

Processing. Sphinx4, the java interface.

Python or c++, command line, android. pocketsphinx.

Text To Speech Synthesis

What is it?

FestVox. CMU Speech group. Festival from University of Edinburgh.

Installation

Test It

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