<p>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 an
Techniques for Noise Robustness in Automatic Speech Recognition
โ Scribed by Tuomas Virtanen, Rita Singh, Bhiksha Raj
- Publisher
- Wiley
- Year
- 2012
- Tongue
- English
- Leaves
- 500
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.ย As the use of ASR systems increases, knowledge of the state-of-the-art in techniques to deal with such problems becomes critical to system and application engineers and researchers who work with or on ASR technologies. This book presents a comprehensive survey of the state-of-the-art in techniques used to improve the robustness of speech recognition systems to these degrading external influences.
Key features:
- Reviews all the main noise robust ASR approaches, including signal separation, voice activity detection, robust feature extraction, model compensation and adaptation, missing data techniques and recognition of reverberant speech.
- Acts as a timely exposition of the topic in light of more widespread use in the future of ASR technology in challenging environments.
- Addresses robustness issues and signal degradation which are both key requirements for practitioners of ASR.
- Includes contributions from top ASR researchers from leading research units in the field
๐ SIMILAR VOLUMES
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 a
United Kingdom, John Wilew & Sons, Ltd. - 2013. - 496 p. <br/>Robustness techniques for ASR fall into a number of different categories. This book is divided into five parts, each focusing on a specific category of approaches. A clear understanding of robustness techniques for ASR requires a clear un
The domain of speech processing has come to the point where researchers and engineers are concerned with how speech technology can be applied to new products, and how this technology will transform our future. One important problem is to improve robustness of speech processing under adverse cond
<p>The need for automatic speech recognition systems to be robust with respect to changes in their acoustical environment has become more widely appreciated in recent years, as more systems are finding their way into practical applications. Although the issue of environmental robustness has received
<p>Foreword Looking back the past 30 years. we have seen steady progress made in the area of speech science and technology. I still remember the excitement in the late seventies when Texas Instruments came up with a toy named "Speak-and-Spell" which was based on a VLSI chip containing the state-of-t