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2015, ISBN 9781118130667, xxxi, 548 pages.
"Written by leaders in the field, this book provides a thorough and insightful presentation of the research methodology on emotion recognition in a highly comprehensive writing style... 
Pattern recognition systems | Computer simulation | COMPUTERS / Computer Vision & Pattern Recognition | Human-computer interaction | TECHNOLOGY & ENGINEERING / Electronics / Digital | Artificial intelligence | Context-aware computing | Emotions | Computer vision | Face perception | Emotions and cognition
Book
2009, 1. Aufl., ISBN 0470517042, xix, 573
A complete overview of distant automatic speech recognitionThe performance of conventional Automatic Speech Recognition (ASR... 
Automatic speech recognition | Communication, Networking and Broadcast Technologies | Components, Circuits, Devices and Systems | Signal Processing and Analysis | Technology & Engineering / Electronics / General | Pattern perception
Book
2012, The MIT Press, ISBN 0262017563, xvii, 555
Understanding speech in our native tongue seems natural and effortless; listening to speech in a nonnative language is a different experience. In this book,... 
Language and languages | Speech processing systems | Variation | Listening | Linguistic models | Speech perception | Linguistics | listening | linguistic models | language and languages | speech perception | speech processing systems | variation | LANGUAGE ARTS & DISCIPLINES | Psycholinguistics
Book
2015, ISBN 9781489974877, 1651
eBook
2009, 1. Aufl., ISBN 9780470696835, xiii, 253
This book discusses large margin and kernel methods for speech and speaker recognitionSpeech and Speaker Recognition... 
Aerospace | Automatic speech recognition
Book
2006, 1. Aufl., ISBN 0470024003, xvi, 257
Automatic speech recognition (ASR) is a very attractive means for human-machine interaction... 
Electronics | Technology | General | Signal processing | Automatic speech recognition
Book
Speech communication, ISSN 0167-6393, 10/2007, Volume 49, Issue 10-11, pp. 763 - 786
Major progress is being recorded regularly on both the technology and exploitation of automatic speech recognition (ASR... 
Speech analysis | Speech intrinsic variations | Speech modeling | Speech recognition | Voice recognition | Analysis
Journal Article
2017, Speech technology and text mining in medicine and healthcare, ISBN 9781614519669, Volume 4, xii, 222 pages
Book
2017, Current issues in the psychology of language, ISBN 184872439X, ix, 206 pages
Book
IEEE/ACM transactions on audio, speech, and language processing, ISSN 2329-9304, 10/2014, Volume 22, Issue 10, pp. 1533 - 1545
Recently, the hybrid deep neural network (DNN)- hidden Markov model (HMM) has been shown to significantly improve speech recognition performance over the conventional Gaussian mixture model (GMM)-HMM... 
convolution | convolutional neural networks | pooling | limited weight sharing (LWS) scheme | Training | Convolution | Neural networks | Limited Weight Sharing (LWS) scheme | Hidden Markov models | Speech recognition | Speech | Vectors | Convolutional neural networks | Pooling | Engineering, Electrical & Electronic | Engineering | Acoustics | Technology | Science & Technology | Voice recognition | Product development
Journal Article
IEEE transactions on pattern analysis and machine intelligence, ISSN 0162-8828, 12/2018, pp. 1 - 1
.... Both models are built on top of the transformer self-attention architecture; (2) we investigate to what extent lip reading is complementary to audio speech recognition, especially when the audio signal is noisy; (3... 
Training | Visualization | Lips | Audio Visual Speech Recognition | Hidden Markov models | Lip Reading | Speech recognition | Feeds | Deep Learning | Videos | Index Medicus | Computer Science - Computer Vision and Pattern Recognition
Journal Article