Prosody and Prediction in Neural Speech Processing PDF Download

Author: Pelle Söderström
Publisher:
ISBN: 9789188473462
Category :
Languages : en
Pages : 47

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Author: K. Sreenivasa Rao
Publisher: Springer Science & Business Media
ISBN: 1461413389
Category : Technology & Engineering
Languages : en
Pages : 136

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Book Description
Predicting Prosody from Text for Text-to-Speech Synthesis covers the specific aspects of prosody, mainly focusing on how to predict the prosodic information from linguistic text, and then how to exploit the predicted prosodic knowledge for various speech applications. Author K. Sreenivasa Rao discusses proposed methods along with state-of-the-art techniques for the acquisition and incorporation of prosodic knowledge for developing speech systems. Positional, contextual and phonological features are proposed for representing the linguistic and production constraints of the sound units present in the text. This book is intended for graduate students and researchers working in the area of speech processing.

Author: Yoshinori Sagisaka
Publisher: Springer Science & Business Media
ISBN: 1461222583
Category : Technology & Engineering
Languages : en
Pages : 405

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Book Description
This book presents a collection of papers from the Spring 1995 Work shop on Computational Approaches to Processing the Prosody of Spon taneous Speech, hosted by the ATR Interpreting Telecommunications Re search Laboratories in Kyoto, Japan. The workshop brought together lead ing researchers in the fields of speech and signal processing, electrical en gineering, psychology, and linguistics, to discuss aspects of spontaneous speech prosody and to suggest approaches to its computational analysis and modelling. The book is divided into four sections. Part I gives an overview and theoretical background to the nature of spontaneous speech, differentiating it from the lab-speech that has been the focus of so many earlier analyses. Part II focuses on the prosodic features of discourse and the structure of the spoken message, Part ilIon the generation and modelling of prosody for computer speech synthesis. Part IV discusses how prosodic information can be used in the context of automatic speech recognition. Each section of the book starts with an invited overview paper to situate the chapters in the context of current research. We feel that this collection of papers offers interesting insights into the scope and nature of the problems concerned with the computational analysis and modelling of real spontaneous speech, and expect that these works will not only form the basis of further developments in each field but also merge to form an integrated computational model of prosody for a better understanding of human processing of the complex interactions of the speech chain.

Author: Alp Öktem
Publisher:
ISBN:
Category :
Languages : en
Pages : 138

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Book Description
In this dissertation, I study the inclusion of prosody into two applications that involve speech understanding:̃automatic speech transcription and spoken language translation. In the former case, I propose a method that uses an attention mechanism over parallel sequences of prosodic and morphosyntactic features. Results indicate an $F_1$ score of 70.3\% in terms of overall punctuation generation accuracy. In the latter problem I deal with enhancing spoken language translation with prosody. A neural machine translation system trained with movie-domain data is adapted with pause features using a prosodically annotated bilingual dataset. Results show that prosodic punctuation generation as a preliminary step to translation increases translation accuracy by 1\% in terms of BLEU scores. Encoding pauses as an extra encoding feature gives an additional 1\% increase to this number. The system is further extended to jointly predict pause features in order to be used as an input to a text-to-speech system.

Author: Alex Waibel
Publisher: Morgan Kaufmann
ISBN: 9780934613705
Category : Computers
Languages : en
Pages : 228

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Book Description
Waibel, (computer science, Carnegie-Mellon U.), focuses on the prosodic cues (e.g., pitch, intensity, rhythm, temporal relationships, stress) that are critical to human speech perception. No index. Annotation copyrighted by Book News, Inc., Portland, OR

Author: Shinji Watanabe
Publisher: Springer
ISBN: 331964680X
Category : Computers
Languages : en
Pages : 433

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Book Description
This book covers the state-of-the-art in deep neural-network-based methods for noise robustness in distant speech recognition applications. It provides insights and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data augmentation, and training criteria. The contributed chapters also include descriptions of real-world applications, benchmark tools and datasets widely used in the field. This book is intended for researchers and practitioners working in the field of speech processing and recognition who are interested in the latest deep learning techniques for noise robustness. It will also be of interest to graduate students in electrical engineering or computer science, who will find it a useful guide to this field of research.

Author: Leena Mary
Publisher: Springer
ISBN: 3319911716
Category : Technology & Engineering
Languages : en
Pages : 70

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Book Description
This updated book expands upon prosody for recognition applications of speech processing. It includes importance of prosody for speech processing applications; builds on why prosody needs to be incorporated in speech processing applications; and presents methods for extraction and representation of prosody for applications such as speaker recognition, language recognition and speech recognition. The updated book also includes information on the significance of prosody for emotion recognition and various prosody-based approaches for automatic emotion recognition from speech.

Author: Xu Tan
Publisher: Springer Nature
ISBN: 9819908272
Category : Computers
Languages : en
Pages : 214

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Book Description
Text-to-speech (TTS) aims to synthesize intelligible and natural speech based on the given text. It is a hot topic in language, speech, and machine learning research and has broad applications in industry. This book introduces neural network-based TTS in the era of deep learning, aiming to provide a good understanding of neural TTS, current research and applications, and the future research trend. This book first introduces the history of TTS technologies and overviews neural TTS, and provides preliminary knowledge on language and speech processing, neural networks and deep learning, and deep generative models. It then introduces neural TTS from the perspective of key components (text analyses, acoustic models, vocoders, and end-to-end models) and advanced topics (expressive and controllable, robust, model-efficient, and data-efficient TTS). It also points some future research directions and collects some resources related to TTS. This book is the first to introduce neural TTS in a comprehensive and easy-to-understand way and can serve both academic researchers and industry practitioners working on TTS.

Author: Shigeru Katagiri
Publisher: Artech House Publishers
ISBN:
Category : Computers
Languages : en
Pages : 560

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Book Description
Here are the comprehensive details on cutting edge technologies employing neural networks for speech recognition and speech processing in modern communications. Going far beyond the simple speech recognition technologies on the market today, this new book, written by and for speech and signal processing engineers in industry, R&D, and academia, takes you to the forefront of the hottest emergent neural net-based speech processing techniques.

Author: Bhanu Prasad
Publisher: Springer Science & Business Media
ISBN: 3540753974
Category : Computers
Languages : en
Pages : 419

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Book Description
Humans are remarkable in processing speech, audio, image and some biomedical signals. Artificial neural networks are proved to be successful in performing several cognitive, industrial and scientific tasks. This peer reviewed book presents some recent advances and surveys on the applications of artificial neural networks in the areas of speech, audio, image and biomedical signal processing. It chapters are prepared by some reputed researchers and practitioners around the globe.