IT60116: Advanced Topics In Speech Processing
| IT60116 | |||||||||||||||||
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| Course name | ADVANCED TOPICS IN SPEECH PROCESSING | ||||||||||||||||
| Offered by | Information Technology | ||||||||||||||||
| Credits | 3 | ||||||||||||||||
| L-T-P | 3-0-0 | ||||||||||||||||
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| Semester | {{{semester}}} | ||||||||||||||||
Syllabus
Syllabus mentioned in ERP
Prerequisite: NoneSpeech production and perception mechanisms, Speech Signal Processing Methods; Knowledge sources in speech: Time domain and frequency domain, Spectrograms, Knowledge sources at segmental, sub-segmental and suprasegmental (prosodic) levels, excitation source, vocal tract system and higher level knowledge sources and linguistic and semantic knowledge. Modeling techniques for developing speech systems: Vector quantization, Hidden Markov models, Gaussian mixture models, Support vector machines and Neural networks; Speech Coding: Coding of speech signals, Waveform coding, Speech-specific coders; Speech Recognition: Issues in speech recognition, Isolated word recognition, Connected word recognition, Continuous speech recognition, Large vocabulary continuous speech recognition; Speech Synthesis: Issues in speech synthesis, Models for speech synthesis, Different speech synthesis systems, Prosodic aspects in speech synthesis, Development of speech synthesis system. Evaluation methodologies for speech synthesis systems; Speaker Recognition: Issues in speaker recognition, Speaker verification vs identification, Textdependent vs text-independent speaker recognition, Development of speaker recognition systems; Speech Enhancement: Enhancement of noisy speech, Enhancement of reverberant speech, Enhancement of multi-speaker speech.