
Stock image for illustration purposes only - book cover, edition or condition may vary.
Techniques for Noise Robustness in Automatic Speech Recognition
Tuomas Virtanen
€ 130.16
FREE Delivery in Ireland
Description for Techniques for Noise Robustness in Automatic Speech Recognition
Hardback. With the growing use of automatic speech recognition (ASR) in everyday life, the ability to solve problems in recorded speech is critical for engineers and researchers developing ASR technologies. The only resource of its kind, this book presents a comprehensive survey of state-of-the-art techniques used to improve the robustness of ASR systems. Editor(s): Virtanen, Tuomas; Singh, Rita; Raj, Bhiksha. Num Pages: 514 pages, Illustrations. BIC Classification: UYQS. Category: (P) Professional & Vocational. Dimension: 247 x 175 x 29. Weight in Grams: 918.
Read more
Automatic speech recognition (ASR) systems are finding increasing use in everyday life. Many of the commonplace environments where the systems are used are noisy, for example users calling up a voice search system from a busy cafeteria or a street. This can result in degraded speech recordings and adversely affect the performance of speech recognition systems. As the use of...
Product Details
Format
Hardback
Publication date
2012
Publisher
John Wiley & Sons Inc United States
Number of pages
514
Condition
New
Number of Pages
514
Place of Publication
New York, United States
ISBN
9781119970880
SKU
V9781119970880
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Tuomas Virtanen
Tuomas Virtanen, Tampere University of Technology, Finland Dr . Virtanen is a senior researcher at Tampere University of Technology. Previously, he has worked at Cambridge University, UK as a research associate. His main research contributions are in sound source separation and its application to robust speech recognition, audio content analysis, and music information retrieval. He is well-known for his work...
Read moreReviews for Techniques for Noise Robustness in Automatic Speech Recognition