Automatic Speech Recognition (ASR) is an impressive achievement of computer science, bringing together signal processing, machine-learning algorithms and computing hardware, to realize systems that effectively translate speech into text. While we can create functional ASR systems today in several languages, they are still far from human-level performance in various scenarios. Also, building an ASR system remains too expensive and data-intensive to be appropriate for low-resource languages. At CSALT, we focus on the machine-learning components that can improve ASR performance. We also focus on developing speech processing techniques for low-resource languages, together with addressing broader technical challenges that emerge when only limited amounts of data are available. More generally, we also explore the interactions between speech and text.
People
Associate Professor
Research: Machine learning applied to speech and natural language
Research: Machine learning applied to speech and natural language
Preethi
Final yr PhD student
Research: Domain adaptation for speech recognition
Research: Domain adaptation for speech recognition
Vinit
3rd yr PhD student
Research: Computational models for code-switched data
Research: Computational models for code-switched data
Barah
2nd yr PhD student
Research: Improving Low-resource ASR/NLP for conversational and code-switched data
Research: Improving Low-resource ASR/NLP for conversational and code-switched data
Ashish
2nd yr PhD student
Research: Cross-lingual Transfer for Low-resource Languages
Research: Cross-lingual Transfer for Low-resource Languages
Sona
2nd yr PhD student
Research: Shallow NLP for extremely low-resource languages
Research: Shallow NLP for extremely low-resource languages
Sanjeev
2nd yr MS student
Research: Code-switched and multilingual NLP
Research: Code-switched and multilingual NLP
Ashish
2nd yr MTech student
Research: Multilingual ASR
Research: Multilingual ASR
Dhiraj
2nd yr MTech student
Research: Generative models for speech
Research: Generative models for speech
Saurabh
2nd yr MTech student
Research: Disfluency correction
Research: Disfluency correction
Bhavani
2nd yr MTech student
Research: Fairness in ASR
Research: Fairness in ASR
Yashwant
2nd yr MTech student
Research: Post-editing using LLMs
Research: Post-editing using LLMs
Vishal
2nd yr MTech student
Research: Accented speech processing
Research: Accented speech processing
Abhishek
1st yr MS student
Research: Cross-lingual NLP
Research: Cross-lingual NLP
Snegha
1st yr MS student
Research: Cross-lingual NLP
Research: Cross-lingual NLP
Soumen
IDDDP student
Research: Conversational chatbots
Research: Conversational chatbots
Pavan
4th yr BTech student
Research: Generative models for speech
Research: Generative models for speech
Koustubh
4th yr BTech student
Research: Tokenization for NLP
Research: Tokenization for NLP
Harshvardhan
4th yr BTech student
Research: Multilingual NLP in LLMs
Research: Multilingual NLP in LLMs
Neeraj
4th yr BTech student
Research: Cross-lingual Transfer
Research: Cross-lingual Transfer
Govind
4th yr BTech student
Research: Speech foundation models
Research: Speech foundation models
Amruta
4th yr BTech student
Research: Speech foundation models
Research: Speech foundation models
Sameep
3rd yr BTech student
Research: Multilingual NLP in LLMs
Research: Multilingual NLP in LLMs
Sabyasachi
3rd yr BTech student
Research: Code-switched ASR
Research: Code-switched ASR
Mridul
3rd yr BTech student
Research: Code-switched ASR
Research: Code-switched ASR
Tanay
3rd yr BTech student
Research: Cross-lingual NLP
Research: Cross-lingual NLP
Adyasha
3rd yr BTech student
Research: Accented ASR
Research: Accented ASR
Omkar
3rd yr BTech student
Research: Accented ASR
Research: Accented ASR
Azeem
3rd yr BTech student
Research: Multimodal learning
Research: Multimodal learning
