Originally published in 1963, The Speech Chain has been regarded as the classic, easy-to-read introduction to the fundamentals and complexities of speech communication. It provides a foundation for understanding the essential aspects of linguistics, acoustics and anatomy, and explores research and development into digital processing of speech and the use of computers for the generation of artificial speech and speech recognition. This interdisciplinary account will prove invaluable to students with little or no previous exposure to the study of language.

A clear account of the physical process of speech production and communication, which will be of interest to psycholinguists as well as phoneticians.

Speech dynamics refer to the temporal characteristics in all stages of the human speech communication process. This speech “chain” starts with the formation of a linguistic message in a speaker's brain and ends with the arrival of the message in a listener's brain. Given the intricacy of the dynamic speech process and its fundamental importance in human communication, this monograph is intended to provide a comprehensive material on mathematical models of speech dynamics and to address the following issues: How do we make sense of the complex speech process in terms of its functional role of speech communication? How do we quantify the special role of speech timing? How do the dynamics relate to the variability of speech that has often been said to seriously hamper automatic speech recognition? How do we put the dynamic process of speech into a quantitative form to enable detailed analyses? And finally, how can we incorporate the knowledge of speech dynamics into computerized speech analysis and recognition algorithms? The answers to all these questions require building and applying computational models for the dynamic speech process. What are the compelling reasons for carrying out dynamic speech modeling? We provide the answer in two related aspects. First, scientific inquiry into the human speech code has been relentlessly pursued for several decades. As an essential carrier of human intelligence and knowledge, speech is the most natural form of human communication. Embedded in the speech code are linguistic (as well as para-linguistic) messages, which are conveyed through four levels of the speech chain. Underlying the robust encoding and transmission of the linguistic messages are the speech dynamics at all the four levels. Mathematical modeling of speech dynamics provides an effective tool in the scientific methods of studying the speech chain. Such scientific studies help understand why humans speak as they do and how humans exploit redundancy and variability by way of multitiered dynamic processes to enhance the efficiency and effectiveness of human speech communication. Second, advancement of human language technology, especially that in automatic recognition of natural-style human speech is also expected to benefit from comprehensive computational modeling of speech dynamics. The limitations of current speech recognition technology are serious and are well known. A commonly acknowledged and frequently discussed weakness of the statistical model underlying current speech recognition technology is the lack of adequate dynamic modeling schemes to provide correlation structure across the temporal speech observation sequence. Unfortunately, due to a variety of reasons, the majority of current research activities in this area favor only incremental modifications and improvements to the existing HMM-based state-of-the-art. For example, while the dynamic and correlation modeling is known to be an important topic, most of the systems nevertheless employ only an ultra-weak form of speech dynamics; e.g., differential or delta parameters. Strong-form dynamic speech modeling, which is the focus of this monograph, may serve as an ultimate solution to this problem. After the introduction chapter, the main body of this monograph consists of four chapters. They cover various aspects of theory, algorithms, and applications of dynamic speech models, and provide a comprehensive survey of the research work in this area spanning over past 20~years. This monograph is intended as advanced materials of speech and signal processing for graudate-level teaching, for professionals and engineering practioners, as well as for seasoned researchers and engineers specialized in speech processing

In their comprehensive new introduction to phonetics, Ball and Rahilly offer a detailed explanation of the process of speech production, from the anatomical initiation of sounds and their modification in the larynx, through to the final articulation of vowels and consonants in the oral and nasal tracts. This textbook is one of the few to give a balanced account of segmental and suprasegmental aspects of speech, showing clearly that the communication chain is incomplete without accurate production of both individual speech sounds (segmental features) and aspects such as stress and intonation (suprasegmental features). Throughout the book the authors provide advice on transcription, primarily using the International Phonetic Alphabet (IPA). Students are expertly guided from basic attempts to record speech sounds on paper, to more refined accounts of phonetic detail in speech. The authors go on to explain acoustic phonetics in a manner accessible both to new students in phonetics, and to those who wish to advance their knowledge of key pursuits in the area, including the sound spectrograph. They describe how speech waves can be measured, as well as considering how they are heard and decoded by listeners, discussing both physiological and neurological aspects of hearing and examining the methods of psychoacoustic experimentation. A range of instrumentation for studying speech production is also presented. The next link is acoustic phonetics, the study of speech transmission. Here the authors introduce the basic concepts of sound acoustics and the instrumentation used to analyse the characteristics of speech waves. Finally, the chain is completed by examining auditory phonetics, and providing a fascinating psychoacoustic experimentation, used to determine what parts of the speech signal are most crucial for listener understanding. The book concludes with a comprehensive survey and description of modern phonetic instrumentation, from the sound spectrograph to magnetic resonance imaging (MRI).

This book assembles major writings in speech production and phonetics of the pioneering Gunnar Fant, along with his more recent work on speech prosody. The book reviews the stages of the speech chain, covering production, speech data analysis and speech perception. 19 selected articles are grouped in 6 chapters, including a historical outline plus Speech production and synthesis; The voice source; Speech analysis and features; Speech perception; Prosody.

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.

Professor Sapir analyzes, for student and common reader, the elements of language. Among these are the units of language, grammatical concepts and their origins, how languages differ and resemble each other, and the history of the growth of representative languages--Cover.