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Fundamentals of Speech Recognition

Fundamentals of Speech Recognition PDF Author: Lawrence R. Rabiner
Publisher:
ISBN: 9788129701381
Category : Automatic speech recognition
Languages : en
Pages : 507

Book Description


Fundamentals of Speech Recognition

Fundamentals of Speech Recognition PDF Author: Lawrence R. Rabiner
Publisher:
ISBN: 9788129701381
Category : Automatic speech recognition
Languages : en
Pages : 507

Book Description


Fundamentals of Speaker Recognition

Fundamentals of Speaker Recognition PDF Author: Homayoon Beigi
Publisher: Springer Science & Business Media
ISBN: 0387775927
Category : Technology & Engineering
Languages : en
Pages : 984

Book Description
An emerging technology, Speaker Recognition is becoming well-known for providing voice authentication over the telephone for helpdesks, call centres and other enterprise businesses for business process automation. "Fundamentals of Speaker Recognition" introduces Speaker Identification, Speaker Verification, Speaker (Audio Event) Classification, Speaker Detection, Speaker Tracking and more. The technical problems are rigorously defined, and a complete picture is made of the relevance of the discussed algorithms and their usage in building a comprehensive Speaker Recognition System. Designed as a textbook with examples and exercises at the end of each chapter, "Fundamentals of Speaker Recognition" is suitable for advanced-level students in computer science and engineering, concentrating on biometrics, speech recognition, pattern recognition, signal processing and, specifically, speaker recognition. It is also a valuable reference for developers of commercial technology and for speech scientists. Please click on the link under "Additional Information" to view supplemental information including the Table of Contents and Index.

Fundamentals of Speech Recognition

Fundamentals of Speech Recognition PDF Author: Lawrence Rabiner
Publisher: Prentice Hall
ISBN: 9780130151575
Category : Automatic speech recognition
Languages : en
Pages : 0

Book Description
A theoretical, technical description of the basic knowledge and ideas that constitute a modern system for speech recognition by machine. The book covers areas including production, perception and acoustic-phonetic characterization of the speech signal and signal processing recognition.

Fundamentals of Speech Synthesis and Speech Recognition

Fundamentals of Speech Synthesis and Speech Recognition PDF Author: E. Keller
Publisher: Wiley-Blackwell
ISBN:
Category : Business & Economics
Languages : en
Pages : 398

Book Description
The production of truly natural-sounding speech still poses considerable problems, and the reliable recognition of continuous speech is still open to major improvements. This text captures the essential elements of current research on artificial speech synthesis and recognition.

Statistical Methods for Speech Recognition

Statistical Methods for Speech Recognition PDF Author: Frederick Jelinek
Publisher: MIT Press
ISBN: 0262546604
Category : Language Arts & Disciplines
Languages : en
Pages : 307

Book Description
This book reflects decades of important research on the mathematical foundations of speech recognition. It focuses on underlying statistical techniques such as hidden Markov models, decision trees, the expectation-maximization algorithm, information theoretic goodness criteria, maximum entropy probability estimation, parameter and data clustering, and smoothing of probability distributions. The author's goal is to present these principles clearly in the simplest setting, to show the advantages of self-organization from real data, and to enable the reader to apply the techniques. Bradford Books imprint

Robust Speech

Robust Speech PDF Author: Michael Grimm
Publisher: BoD – Books on Demand
ISBN: 3902613084
Category : Computers
Languages : en
Pages : 471

Book Description
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 several extensions to state-of-the-art HMM methods. Furthermore, a number of chapters particularly address the task of robust ASR under noisy conditions. Two chapters on the automatic recognition of a speaker's emotional state highlight the importance of natural speech understanding and interpretation in voice-driven systems. The last chapters of the book address the application of conversational systems on robots, as well as the autonomous acquisition of vocalization skills.

Introduction to Digital Speech Processing

Introduction to Digital Speech Processing PDF Author: Lawrence R. Rabiner
Publisher: Now Publishers Inc
ISBN: 1601980701
Category : Computers
Languages : en
Pages : 212

Book Description
Provides the reader with a practical introduction to the wide range of important concepts that comprise the field of digital speech processing. Students of speech research and researchers working in the field can use this as a reference guide.

Robust Speech Recognition of Uncertain or Missing Data

Robust Speech Recognition of Uncertain or Missing Data PDF Author: Dorothea Kolossa
Publisher: Springer Science & Business Media
ISBN: 3642213170
Category : Technology & Engineering
Languages : en
Pages : 387

Book Description
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 its reliability to selectively focus on those segments and features that are most reliable for recognition. This book presents the state of the art in recognition in the presence of uncertainty, offering examples that utilize uncertainty information for noise robustness, reverberation robustness, simultaneous recognition of multiple speech signals, and audiovisual speech recognition. The book is appropriate for scientists and researchers in the field of speech recognition who will find an overview of the state of the art in robust speech recognition, professionals working in speech recognition who will find strategies for improving recognition results in various conditions of mismatch, and lecturers of advanced courses on speech processing or speech recognition who will find a reference and a comprehensive introduction to the field. The book assumes an understanding of the fundamentals of speech recognition using Hidden Markov Models.

Fundamentals of Speech Signal Processing

Fundamentals of Speech Signal Processing PDF Author: Shūzō Saitō
Publisher:
ISBN:
Category : Language Arts & Disciplines
Languages : en
Pages : 290

Book Description


Audio and Speech Processing with MATLAB

Audio and Speech Processing with MATLAB PDF Author: Paul Hill
Publisher: CRC Press
ISBN: 0429813961
Category : Technology & Engineering
Languages : en
Pages : 330

Book Description
Speech and audio processing has undergone a revolution in preceding decades that has accelerated in the last few years generating game-changing technologies such as truly successful speech recognition systems; a goal that had remained out of reach until very recently. This book gives the reader a comprehensive overview of such contemporary speech and audio processing techniques with an emphasis on practical implementations and illustrations using MATLAB code. Core concepts are firstly covered giving an introduction to the physics of audio and vibration together with their representations using complex numbers, Z transforms and frequency analysis transforms such as the FFT. Later chapters give a description of the human auditory system and the fundamentals of psychoacoustics. Insights, results, and analyses given in these chapters are subsequently used as the basis of understanding of the middle section of the book covering: wideband audio compression (MP3 audio etc.), speech recognition and speech coding. The final chapter covers musical synthesis and applications describing methods such as (and giving MATLAB examples of) AM, FM and ring modulation techniques. This chapter gives a final example of the use of time-frequency modification to implement a so-called phase vocoder for time stretching (in MATLAB). Features A comprehensive overview of contemporary speech and audio processing techniques from perceptual and physical acoustic models to a thorough background in relevant digital signal processing techniques together with an exploration of speech and audio applications. A carefully paced progression of complexity of the described methods; building, in many cases, from first principles. Speech and wideband audio coding together with a description of associated standardised codecs (e.g. MP3, AAC and GSM). Speech recognition: Feature extraction (e.g. MFCC features), Hidden Markov Models (HMMs) and deep learning techniques such as Long Short-Time Memory (LSTM) methods. Book and computer-based problems at the end of each chapter. Contains numerous real-world examples backed up by many MATLAB functions and code.