Robust Automatic Speech Recognition

Written By Jinyu Li
Robust Automatic Speech Recognition
  • Publsiher : Academic Press
  • Release : 30 October 2015
  • ISBN : 0128026162
  • Pages : 306 pages
  • Rating : /5 from reviews
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Download or read book entitled Robust Automatic Speech Recognition by author: Jinyu Li which was release on 30 October 2015 and published by Academic Press with total page 306 pages . This book available in PDF, EPUB and Kindle Format. Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against acoustic environmental distortion. It provides a thorough overview of classical and modern noise-and reverberation robust techniques that have been developed over the past thirty years, with an emphasis on practical methods that have been proven to be successful and which are likely to be further developed for future applications. The strengths and weaknesses of robustness-enhancing speech recognition techniques are carefully analyzed. The book covers noise-robust techniques designed for acoustic models which are based on both Gaussian mixture models and deep neural networks. In addition, a guide to selecting the best methods for practical applications is provided. The reader will: Gain a unified, deep and systematic understanding of the state-of-the-art technologies for robust speech recognition Learn the links and relationship between alternative technologies for robust speech recognition Be able to use the technology analysis and categorization detailed in the book to guide future technology development Be able to develop new noise-robust methods in the current era of deep learning for acoustic modeling in speech recognition The first book that provides a comprehensive review on noise and reverberation robust speech recognition methods in the era of deep neural networks Connects robust speech recognition techniques to machine learning paradigms with rigorous mathematical treatment Provides elegant and structural ways to categorize and analyze noise-robust speech recognition techniques Written by leading researchers who have been actively working on the subject matter in both industrial and academic organizations for many years

Robust Automatic Speech Recognition

Robust Automatic Speech Recognition
  • Author : Jinyu Li,Li Deng,Reinhold Haeb-Umbach,Yifan Gong
  • Publisher : Academic Press
  • Release Date : 2015-10-30
  • Total pages : 306
  • ISBN : 0128026162
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Summary : Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against acoustic environmental distortion. It provides a thorough overview of classical and modern noise-and reverberation robust techniques that have been developed over the past thirty years, with an emphasis on ...

Robust Automatic Speech Recognition Employing Phoneme dependent Multi environment Enhanced Models Based Linear Normalization

Robust Automatic Speech Recognition Employing Phoneme dependent Multi environment Enhanced Models Based Linear Normalization
  • Author : Igmar Hernández Ochoa
  • Publisher : Unknown
  • Release Date : 2006
  • Total pages : 212
  • ISBN : 0128026162
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Summary : This work shows a robust normalization technique by cascading a speech enhance-ment method followed by a feature vector normalization algorithm. An efficient scheme used to provide speech enhancement is the Spectral Subtraction algorithm, which reduces the effect of additive noise by performing a subtraction of noise spectrum estimate over the ...

Techniques for Noise Robustness in Automatic Speech Recognition

Techniques for Noise Robustness in Automatic Speech Recognition
  • Author : Tuomas Virtanen,Rita Singh,Bhiksha Raj
  • Publisher : John Wiley & Sons
  • Release Date : 2012-09-19
  • Total pages : 520
  • ISBN : 0128026162
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Summary : Automatic speech recognition (ASR) systems are findingincreasing use in everyday life. Many of the commonplaceenvironments where the systems are used are noisy, for exampleusers calling up a voice search system from a busy cafeteria or astreet. This can result in degraded speech recordings and adverselyaffect the performance of speech recognition ...

Robust Automatic Speech Recognition and Moduling of Auditory Discrimination with Auditory Experiments Spectro temporal Features

Robust Automatic Speech Recognition and Moduling of Auditory Discrimination with Auditory Experiments Spectro temporal Features
  • Author : Marc René Schädler
  • Publisher : Unknown
  • Release Date : 2016
  • Total pages : 212
  • ISBN : 0128026162
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Summary : Automatic speech recognition (ASR) systems still do not perform as well as human listeners under realistic conditions. The unmatched ability of humans to understand speech in most difficult acoustic conditions originates from the superior properties of their auditory system. The aim of this thesis is to improve the recognition performance ...

Robust Automatic Recognition of Birdsongs and Human Speech a Template Based Approach

Robust Automatic Recognition of Birdsongs and Human Speech  a Template Based Approach
  • Author : Kantapon Kaewtip
  • Publisher : Unknown
  • Release Date : 2017
  • Total pages : 135
  • ISBN : 0128026162
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Summary : This dissertation focuses on robust signal processing algorithms for birdsongs and speech signals. Automatic phrase or syllable detection systems of bird sounds are useful in several applications. However, bird-phrase detection is challenging due to segmentation error, duration variability, limited training data, and background noise. Two spectrograms with identical class labels ...

Robustness in Automatic Speech Recognition

Robustness in Automatic Speech Recognition
  • Author : Jean-Claude Junqua,Jean-Paul Haton
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Total pages : 440
  • ISBN : 0128026162
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Summary : 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-the-art linear ...

Robust Speech Recognition and Understanding

Robust Speech Recognition and Understanding
  • Author : Danel Jaso
  • Publisher : Unknown
  • Release Date : 2016-04-01
  • Total pages : 276
  • ISBN : 0128026162
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Summary : "Speech recognition systems have become much more robust in recent years with respect to both speaker variability and acoustical variability. 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 ...

Recent Advances in Robust Speech Recognition Technology

Recent Advances in Robust Speech Recognition Technology
  • Author : Javier Ramírez,Juan Manuel Górriz
  • Publisher : Bentham Science
  • Release Date : 2011-01-01
  • Total pages : 210
  • ISBN : 0128026162
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Summary : This E-book is a collection of articles that describe advances in speech recognition technology. Robustness in speech recognition refers to the need to maintain high speech recognition accuracy even when the quality of the input speech is degraded, or when the acoustical, articulate, or phonetic characteristics of speech in the ...

Robust Speech Recognition of Uncertain or Missing Data

Robust Speech Recognition of Uncertain or Missing Data
  • Author : Dorothea Kolossa,Reinhold Haeb-Umbach
  • Publisher : Springer Science & Business Media
  • Release Date : 2011-07-14
  • Total pages : 380
  • ISBN : 0128026162
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Summary : Automatic speech recognition suffers from a lack of robustness with respect to noise, reverberation and interfering speech. The growing field of speech recognition in the presence of missing or uncertain input data seeks to ameliorate those problems by using not only a preprocessed speech signal but also an estimate of ...

Reconstructing Incomplete and Unreliable Speech Spectrogram for Robust Automatic Speech Recognition

Reconstructing Incomplete and Unreliable Speech Spectrogram for Robust Automatic Speech Recognition
  • Author : Shirin Badiezadegan
  • Publisher : Unknown
  • Release Date : 2015
  • Total pages : 212
  • ISBN : 0128026162
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Summary : "The performance of an automatic speech recognition (ASR) system degrades dramatically when speech is corrupted by background noise. In many ASR applications, however, the presence of the background noise is unavoidable. Feature representations in ASR are usually derived from the short-time spectral magnitude of the speech signal, known as the ...

Robust Adaptation to Non Native Accents in Automatic Speech Recognition

Robust Adaptation to Non Native Accents in Automatic Speech Recognition
  • Author : Silke Goronzy
  • Publisher : Springer Science & Business Media
  • Release Date : 2002-12-19
  • Total pages : 146
  • ISBN : 0128026162
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Summary : Speech recognition technology is being increasingly employed in human-machine interfaces. A remaining problem however is the robustness of this technology to non-native accents, which still cause considerable difficulties for current systems. In this book, methods to overcome this problem are described. A speaker adaptation algorithm that is capable of adapting ...

Acoustical and Environmental Robustness in Automatic Speech Recognition

Acoustical and Environmental Robustness in Automatic Speech Recognition
  • Author : Alex Acero
  • Publisher : Springer Science & Business Media
  • Release Date : 1992-11-30
  • Total pages : 186
  • ISBN : 0128026162
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Summary : 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 only a small fraction of the ...

Speech Recognition Over Digital Channels

Speech Recognition Over Digital Channels
  • Author : Antonio Peinado,Jose Segura
  • Publisher : John Wiley & Sons
  • Release Date : 2006-08-04
  • Total pages : 274
  • ISBN : 0128026162
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Summary : Automatic speech recognition (ASR) is a very attractive means for human-machine interaction. The degree of maturity reached by speech recognition technologies during recent years allows the development of applications that use them. In particular, ASR shows an enormous potential in mobile environments, where devices such as mobile phones or PDAs ...

Robust Speech

Robust Speech
  • Author : Michael Grimm,Kristian Kroschel
  • Publisher : IntechOpen
  • Release Date : 2007-06-01
  • Total pages : 470
  • ISBN : 0128026162
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Summary : This book on Robust Speech Recognition and Understanding brings together many different aspects of the current research on automatic speech recognition and language understanding. The first four chapters address the task of voice activity detection which is considered an important issue for all speech recognition systems. The next chapters give ...

Advances in Audiovisual Speech Processing for Robust Voice Activity Detection and Automatic Speech Recognition

Advances in Audiovisual Speech Processing for Robust Voice Activity Detection and Automatic Speech Recognition
  • Author : Fei Tao (Electrical engineer)
  • Publisher : Unknown
  • Release Date : 2018
  • Total pages : 212
  • ISBN : 0128026162
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Summary : Speech processing systems are widely used in existing commercial applications, including virtual assistants in smartphones and home assistant devices. Speech-based commands provide convenient hands-free functionality for users. Two key speech processing systems in practical applications are voice activity detection (VAD), which aims to detect when a user is speaking to ...