Automatic speech and speaker recognition: large margin and kernel methods

✍ Scribed by Joseph Keshet, Samy Bengio

Publisher: J. Wiley & Sons
Year: 2009
Tongue: English
Leaves: 257
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

✦ Subjects

Информатика и вычислительная техника;Искусственный интеллект;Компьютерная лингвистика;

📜 SIMILAR VOLUMES

Automatic Speech and Speaker Recognition

📁 Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods

✍ Joseph Keshet, Samy Bengio 📂 Library 📅 2009 🏛 Wiley 🌐 English

This book discusses large margin and kernel methods for speech and speaker recognitionSpeech and Speaker Recognition: Large Margin and Kernel Methods is a collation of research in the recent advances in large margin and kernel methods, as applied to the field of speech and speaker r

Automatic Speech and Speaker Recognition

📁 Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods

✍ Joseph Keshet, Samy Bengio 📂 Library 📅 2009 🏛 Wiley 🌐 English

This book discusses large margin and kernel methods for speech and speaker recognition Speech and Speaker Recognition: Large Margin and Kernel Methods is a collation of research in the recent advances in large margin and kernel methods, as applied to the field of speech and speaker r

Automatic Speech and Speaker Recognition

📁 Automatic Speech and Speaker Recognition: Advanced Topics

✍ L. R. Rabiner, B.-H. Juang, C.-H. Lee (auth.), Chin-Hui Lee, Frank K. Soong, Kul 📂 Library 📅 1996 🏛 Springer US 🌐 English

Research in the field of automatic speech and speaker recognition has made a number of significant advances in the last two decades, influenced by advances in signal processing, algorithms, architectures, and hardware. These advances include: the adoption of a statistical pattern recognition para

Extraction of Prosody for Automatic Spea

📁 Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech Recognition

✍ Leena Mary 📂 Library 📅 2019 🏛 Springer International Publishing 🌐 English

This updated book expands upon prosody for recognition applications of speech processing. It includes importance of prosody for speech processing applications; builds on why prosody needs to be incorporated in speech processing applications; and presents methods for extraction and representati

Human and Automatic Speaker Recognition

📁 Human and Automatic Speaker Recognition over Telecommunication Channels

✍ Laura Fernández Gallardo (auth.) 📂 Library 📅 2016 🏛 Springer Singapore 🌐 English

This work addresses the evaluation of the human and the automatic speaker recognition performances under different channel distortions caused by bandwidth limitation, codecs, and electro-acoustic user interfaces, among other impairments. Its main contribution is the demonstration of the benefi

Automatic Speech Recognition

📁 Automatic Speech Recognition

✍ Renals Steve, King Simon. 📂 Library 🌐 English

In William J. Hardcastle, John Laver, and Fiona E. Gibbon, editors, Handbook of Phonetic Sciences, chapter 22 (Wiley Blackwell, 2010, ISBN: 978-1-4051-4590-9) — on pp. 804—838.<div class="bb-sep"></div>Speech recognition—the transcription of an acoustic speech signal into a string of words—is a hard