## Speech and Language Processing - Module 4F11## Module LecturersProf. Phil Woodland pcw@eng.cam.ac.uk and Dr. Bill Byrne bill.byrne@eng.cam.ac.uk## SyllabusIntroduction & Applications. Speech production mechanisms, types of speech sound, source-filter model, applications of speech and text processing. Lecture notes available in [lect1.pdf]. FFT based methods. All-pole filter models, calculation of LP coefficients. LP Spectrum. Cepstral analysis. Front-end analysis for speech recognition (MFCCs). Lecture notes available in [lect23.pdf] Statistical speech recognition, task complexity. Hidden Markov models. Continuous density HMM parameter estimation, Baum-Welch algorithm, Viterbi algorithm, Gaussian mixture models for HMMs. Lecture notes available in [lect45.pdf] Large vocabulary speech recogntion, continuous speech training, limitations of word models, context dependent phones, parameter tying, WSJ performance. Lecture notes available in [lect6.pdf] Perplexity, N-gram language models, discounting, interpolation. Lecture notes available in [lect7.pdf] Continuous speech recognition. Pruning. Integrating context dependent HMMs and N-gram language models. Lecture notes available in [lect8.pdf] Efficient realization of probabilistic models for sequence processing. Transduction, composition, determinization, minimum-cost search. WFSTs in ASR search and other language processing applications. Lecture notes available in [lect9-10.pdf] Statistical pattern processing approaches to translation. Automatic evaluation of translation quality. Lecture notes available in [lect11.pdf] Parallel text as training data. Models of word and phrase alignment in translation. Model estimation procedures. Lecture notes available in [lect12.pdf] Phrase-based translation systems. Implementation via WFSTs. Lecture notes available in [lect13.pdf] Introduction to TTS. Lecture notes available in [lect14.pdf] ## Examples papersThere will be two examples papers and two examples classes for the course. The solutions to the examples papers will be available on-line (after examples classes).Examples Paper 1 available in [egPaper1.pdf]. Solutions to examples paper 1 available in [egPaper1soln.pdf] Examples Paper 2 available in [examplepaper2.pdf] Solutions to examples paper 2 available in [examplepaper2_solns.pdf]
## Exam FormatAssessment by 1.5 hour exam: 3 questions from 4.
## Course Books |