E9 261 (JAN) 3:1 Speech Information Processing
Speech Information Processing
January-April, 2022
Announcements: |
January 1, 2022: First lecture will be held on January 3, 2022 (Monday) at 5:30PM. January 1, 2022: If you are attending the course (credit or audit), please fill up this form (on or before January 16, 2022) to join the class email list. |
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Instructor: |
Prasanta Kumar Ghosh Office: EE C 330 Phone: +91 (80) 2293 2694 prasantg AT iisc.ac.in |
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Teaching Assistant(s): |
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Class meetings: |
5:00pm to 6:00pm every Monday, Wednesday and 4:30pm to 5:30pm on every Friday (Venue) |
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Course Content: |
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Prerequisites: |
Digital Signal Processing, Probability and Random Processes |
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Textbooks: |
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Web Links: |
The Edinburgh Speech Tools Library Speech Signal Processing Toolkit (SPTK) Hidden Markov Model Toolkit (HTK) ICSI Speech Group Tools VOICEBOX: Speech Processing Toolbox for MATLAB Praat: doing phonetics by computer Audacity SoX - Sound eXchange HMM-based Speech Synthesis System (HTS) International Phonetic Association (IPA) Type IPA phonetic symbols CMU dictionary Co-articulation and phonology by Ohala Assisted Listening Using a Headset Headphone-Based Spatial Sound Pitch Perception Head-Related Transfer Functions and Virtual Auditory Display Signal reconstruction from STFT magnitude: a state of the art On the usefulness of STFT phase spectrum in human listening tests Experimental comparison between stationary and nonstationary formulations of linear prediction applied to voiced speech analysis A modified autocorrelation method of linear prediction for pitch-synchronous analysis of voiced speech Linear prediction: A tutorial review Energy separation in signal modulations with application to speech analysis Nonlinear Speech Modeling and Applications |
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Grading: |
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Topics covered: |
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Your Voice/files to upload: |
Click to upload (max 10Mb)
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Transcripts for recording: |
Click here
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Your feedback on this course (any time): |
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Academic Honesty: |
As students of IISc, we expect you to adhere to the highest standards of academic honesty and integrity. Please read the IISc academic integrity. |