III B.E. (Computer Engg.)

VII SEMESTER

7CP6.3 DIGITAL SPEECH AND LANGUAGE PROCESSING

1.  INTRODUCTION: Knowledge in speech and language processing Models and Algorithms, Language, Thought and understanding.

2.   REGULAR EXPRESSIONS AND AUTOMATA: Regular expression -Basic Regular expression patterns, Disjunction Grouping and Precedence, Funite-State Automata -Using an FS to recognize sheep talk, Using NFSA to accept strings.

3. MORPHOLOGY AND FINIT STATE TRANSDUCERS: Survey of English Morphology -Inflectional and Derivational Morphology. Finite-State morphology parsing -Lexicen and Morphotactics, Morphological parsing with Finite-State Transducers, Orthographic Rules and Finite-State Transducers. Combining FST lexicons and rules. Lexicon-Free FSTs and Human Morphological Processing.

4.    COMPUTATIONAL PHONOLOGY AND TEXT. TO. SPEECH: Speech Sounds and Phonetic Transcription -Consonants; Place and, Manner of articulation and vowels. Phoneme, Phonological Rules and Transducers. Advanced Issues in computational Phonology- Harmony, Templatic Morphology and Optimality theory. Machine Learning of phonological Rules, Mapping Text to Phones for TTS, Prosody in TTS and Human, Processing of Phonology and Morphology.

5.  HMMs AND SPEECH RECOGNITION: Speech Recognition Architecture, Hidden Markov models, Viterb Algorithm and A* Decoding. Acoustic Processing of Speech -Sound Waves, Waveform interpretation and spectra. Training a Speech Recognizer and Human Speech Recognition.

Recommended Books:

1.      Daniel Jurafsky -Speech and Language Processing, Pearson Education Asia.