7 | | * [http://www.ee.columbia.edu/~dpwe/e6820/outline.html Dan Ellis' slides from his Spring 2004 audio processing class] |
8 | | * [http://www.ee.columbia.edu/~dpwe/e4810/outline.html Dan Ellis' slides from his Fall 2006 DSP class] |
9 | | * [http://ssli.ee.washington.edu/people/bilmes/ee516/ Slides from Jeff Bilmes' winter 2005 speech processing class] |
10 | | * [http://www.inf.ed.ac.uk/teaching/courses/icl/lectures/2006/ngram-lec.pdf Steve Renals' n-gram language modeling lecture] from a [http://www.inf.ed.ac.uk/teaching/courses/icl/lectures.html computational linguistics class] |
11 | | * [http://research.microsoft.com/~joshuago/publications.htm Joshua Goodman's publications]. There is useful tutorial material in The State of the Art in Language Modeling and A Bit of Progress in Language Modeling |
12 | | * [http://www.cis.hut.fi/Opinnot/T-61.6040/pellom-2004/ Slides from Bryan Pellom's 2004 speech recognition class] |
13 | | * [http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-345Automatic-Speech-RecognitionSpring2003/CourseHome/ Slides from Automatic Speech Recognition, Spring 2003, MIT] |
14 | | * [http://www.cse.ogi.edu/class/cse552/ Hidden Markov Models for Speech Recognition, Spring 2004, OGI (PowerPoint ONLY)] |
15 | | * "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition": this classic article by Rabiner can be found with Google or Google Scholar |
16 | | * "Automatic speech recognition: History, methods and challenges" is a 2008 article by Douglas O'Shaughnessy in the journal Pattern Recognition (volume 41, issue 10) |
17 | | * [http://www.icsi.berkeley.edu/ftp/global/pub/speech/papers/ieeespm95-hyb.pdf Morgan and Bourlard intro to hybrid (Neural Net/HMM) speech recognition systems] |
18 | | * [http://www.icsi.berkeley.edu/ftp/global/pub/techreports/1998/tr-98-041.pdf Eric Fosler's HMM Tutorial] |
| 7 | * [http://www.ee.columbia.edu/~dpwe/e6820/outline.html Dan Ellis' slides from his Spring 2004 audio processing class] |
| 8 | * [http://www.ee.columbia.edu/~dpwe/e4810/outline.html Dan Ellis' slides from his Fall 2006 DSP class] |
| 9 | * [http://ssli.ee.washington.edu/people/bilmes/ee516/ Slides from Jeff Bilmes' winter 2005 speech processing class] |
| 10 | * [http://www.inf.ed.ac.uk/teaching/courses/icl/lectures/2006/ngram-lec.pdf Steve Renals' n-gram language modeling lecture] from a [http://www.inf.ed.ac.uk/teaching/courses/icl/lectures.html computational linguistics class] |
| 11 | * [http://research.microsoft.com/~joshuago/publications.htm Joshua Goodman's publications]. There is useful tutorial material in The State of the Art in Language Modeling and A Bit of Progress in Language Modeling |
| 12 | * [http://www.cis.hut.fi/Opinnot/T-61.6040/pellom-2004/ Slides from Bryan Pellom's 2004 speech recognition class] |
| 13 | * [http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-345Automatic-Speech-RecognitionSpring2003/CourseHome/ Slides from Automatic Speech Recognition, Spring 2003, MIT] |
| 14 | * [http://www.cse.ogi.edu/class/cse552/ Hidden Markov Models for Speech Recognition, Spring 2004, OGI (PowerPoint ONLY)] |
| 15 | * "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition": this classic article by Rabiner can be found with Google or Google Scholar |
| 16 | * "Automatic speech recognition: History, methods and challenges" is a 2008 article by Douglas O'Shaughnessy in the journal Pattern Recognition (volume 41, issue 10) |
| 17 | * [http://www.icsi.berkeley.edu/ftp/global/pub/speech/papers/ieeespm95-hyb.pdf Morgan and Bourlard intro to hybrid (Neural Net/HMM) speech recognition systems] |
| 18 | * [http://www.icsi.berkeley.edu/ftp/global/pub/techreports/1998/tr-98-041.pdf Eric Fosler's HMM Tutorial] |