Assistive Speech Technologies
- Lead Institute: SSNCE Chennai
- Lead Partner: Dr. P. Vijayalakshmi
- Funding: Rs. 85.26 lakh
Major Objectives
- To develop annotated dysarthric speech database in Tamil, Hindi, and Indian English for 20 speakers each with varying degrees of the disorder.
- To develop assessment and therapy tools for speech articulatory disorders.
- To develop ASR systems for dysarthric speakers
- To develop TTS with adaptive speech rate for people with articulation disorders and visually challenged.
- To develop an infant cry database for early detection of ASD and pathology classification
- To develop children's speech database for ASD and articulation disorders
- To develop children's speech database for ASR with reference to consortium effort
- To develop speech-based emotion recognition for disordered speech, such as dysarthria.
Progress
Y1-Q1
- Conversational data (simple sentences) of around 500 sentences are formulated for
English,
Tamil, and
Hindi.
- Literature survey.
- Sample wav files of dysarthric speech and their corresponding intelligible speech, modified using DNN-HMM framework.
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Original |
Synthesized |
Mild |
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Moderate |
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Severe |
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- Examples of mild, moderate and severe dysarthric speech.
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கடவுளை வணங்கு |
அன்பே கடவுள் |
Mild |
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Moderate |
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Severe |
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- Speaker-adaptively synthesized speech
Text |
Original |
Synthesized |
கடவுளை வணங்கு |
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