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2 edition of Phase-based speech processing found in the catalog.

Phase-based speech processing

Guangji Shi

Phase-based speech processing

by Guangji Shi

  • 361 Want to read
  • 32 Currently reading

Published .
Written in English


About the Edition

The performance of automatic speech recognition (ASR) systems degrades significantly in adverse environments due to ambient noise and reverberation. This problem becomes even greater in hands-free speech applications, where the microphones can be placed far away from the speaker of interest. Environmental robustness has become a major barrier that prevents ASR from a wide range of applications such as voice recognition in a car and voice controlled hand-held devices.In this research, the importance of phase in robust speech recognition is explored. First, the effect of phase uncertainty on the recognition accuracy of human listeners is investigated. The goal is to get a quantitative measure on the importance of phase. The results show that the importance of phase varies with SNR (signal-to-noise ratio). At low SNR conditions, phase can have a significant impact on speech recognition accuracy. Next, motivated by the importance of phase in multi-microphone signal processing, a phase-based dual-microphone noise masking approach is proposed for speech enhancement. By utilizing the time delay of the speech source of interest to the two microphones and the actual phases of the signals recorded by both microphones, the algorithm filters the noise signal in the short-time Fourier transform domain. By doing so, the noise components are distorted beyond recognition and the speech recognition accuracy is improved. The effectiveness of this approach is demonstrated through performance comparison with alternative techniques. Lastly, an automatic parameter estimation technique is developed to further optimize its performance. The parameter of the phase-based dual-microphone filter is adjusted in run-time automatically by performing likelihood calculations of the enhanced speech features using a prior speech model. Speech recognition tests show that this adaptive approach not only achieves better recognition accuracy, but also improves the filter"s robustness when time delay estimates are inaccurate.

Edition Notes

Statementby Guangji Shi.
The Physical Object
Paginationxvii, 141 leaves.
Number of Pages141
ID Numbers
Open LibraryOL19757637M
ISBN 109780494157954

This book constitutes the proceedings of the 6th International Conference on Nonlinear Speech Processing, NOLISP , held in Mons, Belgium, in June The 27 refereed papers included in this volume were carefully reviewed and selected from 34 submissions. The paper are organized in topical. Addressing this problem, this paper presents a fingerprint recognition algorithm using phase-based image matching. The use of phase components in 2D (two-dimensional) discrete Fourier transforms of fingerprint images makes possible to achieve highly robust fingerprint recognition for low-quality fingerprints.

Phase-Based Speech Enhancement Bilal Abdul Raouf Shehada Supervisor Associate Professor Mohammed Ahmed Alhanjouri A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science in Computer Engineering. II. Parham Aarabi (Persian: پرهام اعرابی ‎, born Aug ) is a professor and entrepreneur from Toronto, Canada.. Career. Aarabi is a professor at University of Toronto and Canada Research Chair in Internet Video, Audio, and Image Search. He has a Ph.D. in Electrical Engineering from Stanford University. He is the inventor of numerous patents and author of over 80 publications Authority control: DBLP: a/ParhamAarabi, .

The reasons why the research on phase-aware processing or in general studying the phase importance in speech applications was slow could be explained in following: (i) historically, the spectral phase of speech signals was believed to be unimportant as reported in the early studies (for a full review we refer to Mowlaee et al. (a, Ch. 1 Cited by: 2. SRI speech-recognition engines are used in industries such as: mobile, automotive, avionics, field automation, medical, defense public safety, consumer electronics and interactive media.


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Phase-based speech processing by Guangji Shi Download PDF EPUB FB2

This book also Phase-based speech processing book the state-of-the-art research in phase-based speech processing, starting from the basics of signal processing and recording, to single microphone speech recognition, the recognition of speech and the processing of speech by humans, as well as the importance of phase in human speech recognition and multi-microphone phase.

This book also discusses the state-of-the-art research in phase-based speech processing, starting from the basics of signal processing and recording, to single microphone speech recognition, the recognition of speech and the processing of speech by humans, as well as the importance of phase in human speech recognition and multi-microphone phase Cited by: This book highlights some of the important ways in which the phase of speech signals can be utilized for sound It also discusses the research in phase-based speech processing.

Read more. Thus, this book highlights some of the important ways in which the phase of speech signals can be utilized for sound localization, enhancement, and book also discusses the state-of-the-art research in phase-based speech processing, starting from the basics of signal processing and recording, to single microphone speech 4/5(1).

Phase-based Speech Processing by Parham Aarabi,available at Book Depository with free delivery worldwide. The chapter is targeted at making spectral phase accessible for researchers working on speech signal processing.

Further, this knowledge will be useful in understanding the phase‐based signal processing ideas explained in the following by: 1. This book also discusses the state-of-the-art research in phase-based speech processing, starting from the basics of signal processing and recording, to single microphone speech recognition, the recognition of speech and the processing of speech by humans, as well as the importance of phase in human speech recognition and multi-microphone phase.

Book Chapter. Shanechi M. M., “Brain-machine interfaces”, Dynamic Neuroscience, Ed. Sarma, Ed. Chen, Springer International Publishing. “Phase-based speech processing”, World Scientific, Neural Systems Engineering & Information Processing Lab.

Ming Hsieh Department of Electrical Engineering. Unlimited WordPress Theme by. Phase-aware processing has recently attracted lots of interest among researchers in speech signal processing field as successful results have been.

An overview on the challenging new topic of phase-aware signal processing Speech communication technology is a key factor in human-machine interaction, digital hearing aids, mobile telephony, and automatic speech/speaker recognition. With the proliferation of these applications, there is a growing requirement for advanced methodologies that can push the.

Phase-Based Speech Processing Takes a look at the importance of phase in the design of speech processing systems. This book highlights some of the important ways in which the phase of speech signals can be utilized for sound localization, enhancement, and recognition.

Thus, this book highlights some of the important ways in which the phase of speech signals can be utilized for sound localization, enhancement, and book also discusses the state-of-the-art research in phase-based speech processing, starting from the basics of signal processing and recording, to single microphone speech.

Single-Channel Phase-Aware Signal Processing in Speech Communication provides a comprehensive guide to phase signal processing and reviews the history of phase importance in the literature, basic problems in phase processing, fundamentals of phase estimation together with several applications to demonstrate the usefulness of phase processing.4/5(1).

In book: Single Channel Phase-Aware Signal Processing in Speech Communication: Theory and Practice, Publisher: John Wiley and Sons, pp Log magnitude spectrum and two phase-based features. Some special features of this book are: (1) gradual and step-by-step development of the mathematics for signal processing, (2) numerous examples and homework problems, (3) evolutionary development of Fourier series, Discrete Fourier Transform, Fourier Transform, Laplace Transform, and Z-Transform, (4) emphasis on the relationship between.

Abstract. Voice source analysis is an important but difficult issue for speech processing. In this talk, three aspects of voice source analysis recently developed at LIMSI (Orsay, France) and FPMs (Mons, Belgium) are by: 5. Loweimi E., Ahadi S.M., Drugman T., Loveymi S.

() On the Importance of Pre-emphasis and Window Shape in Phase-Based Speech Recognition. In: Drugman T., Dutoit T. (eds) Advances in Nonlinear Speech by: 7. Get this from a library. Single channel phase-aware signal processing in speech communication: theory and practice.

[Pejman Mowlaee; Josef Kulmer; Johannes Stahl; Florian Mayer;] -- An overview on the challenging new topic of phase-aware signal processing Speech communication technology is a key factor in human-machine interaction, digital hearing aids, mobile.

Aarabi et al. () reviewed phase-based speech processing methods that were focused on improved automatic speech recognition or binaural speech enhancement using phase difference information between microphones.

The importance of phase information in noise reduction has been by: The current automatic cognitive load measurement system based on MFCC and prosodic features does not take into account phase based speech information.

This paper aims to improve the performance of the baseline system by introducing phase based features into the system. The additional features proposed are group delay features, all-pole model based FM features and. Single-Channel Phase-Aware Signal Processing in Speech Communication provides a comprehensive guide to phase signal processing and reviews the history of phase importance in the literature, basic problems in phase processing, fundamentals of phase estimation together with several applications to demonstrate the usefulness of phase processing.The phase processing of speech sig-nal dates back to s where several attempts were made to estimate the time-domain signal from a given modified spectral magnitude.

This problem fits to several speech applications to name a few: speech enhancement, separation, time-scale modi-fication and speech coding, where one is provided with a modi.General Outline: Goal and Scope I Demonstrating the importance of phase in different applications I Consider the latest progress in phase-based speech processing I Establish a new community of researchers working on phase Overview on Phase Importance in Speech Applications 1.

Source Separation and Speech Enhancement 2. Speech Analysis and Synthesis.