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Speech Communications Human And Machine Pdf Free

Speech Communications Human And Machine Pdf Free

Speech communication is the process of producing and perceiving speech sounds by humans and machines. It involves various aspects of linguistics, acoustics, signal processing, and artificial intelligence. Speech communication is a fascinating and challenging field of research that has many applications in our daily lives, such as telephony, voice assistants, speech recognition, speech synthesis, speech coding, speech enhancement, speech translation, and speech education.

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One of the most comprehensive and authoritative books on speech communication is Speech Communications: Human and Machine by Douglas O'Shaughnessy. This book was first published in 1987 and revised and updated in 2000. It provides an interdisciplinary introduction to speech communication for students and researchers of electrical engineering, computer science, systems engineering, linguistics, audiology, and psychology. It covers the basic principles and technical details of how humans generate and interpret speech and how machines simulate human speech performance and code speech for efficient transmission. It also discusses the state-of-the-art techniques to analyze, code, recognize, and synthesize speech. Moreover, it offers a critical view of the limitations of current technology and the future trends for speech research.

The book is divided into four parts: Part I introduces the fundamentals of speech communication, such as the anatomy and physiology of speech production and perception, the acoustic properties of speech sounds, the phonetic and phonological aspects of speech, and the linguistic and pragmatic aspects of speech communication. Part II deals with the analysis of speech signals, such as spectral analysis, linear prediction, cepstral analysis, pitch detection, formant tracking, and voice quality analysis. Part III focuses on the coding of speech signals for efficient transmission over noisy channels, such as waveform coding, vocoders, linear predictive coding, code-excited linear prediction, vector quantization, and subband coding. Part IV explores the recognition and synthesis of speech by machines, such as hidden Markov models, neural networks, dynamic time warping, speaker recognition, text-to-speech synthesis, prosody generation, and articulatory synthesis.

The book is well-written and well-organized. It explains the concepts clearly and concisely with mathematical rigor and intuitive examples. It also provides numerous exercises and problems at the end of each chapter to test the reader's understanding and application of the material. The book is richly illustrated with figures and tables that help to visualize the data and algorithms. The book also includes up-to-date references and web addresses that lead to a wealth of resources for further reading and research.

The book is available in hardcover format from IEEE Press or in PDF format from various online sources. However, the PDF versions may not be authorized by the publisher or the author and may violate their copyrights. Therefore, it is recommended to purchase or borrow the original hardcover edition from a reputable source if possible.

In conclusion, Speech Communications: Human and Machine is an excellent book for anyone who is interested in learning more about the science and technology of speech communication. It covers a wide range of topics from both human and machine perspectives with depth and breadth. It is suitable for both beginners and experts in the field. It is a valuable reference for students, researchers, engineers, educators, and enthusiasts of speech communication.


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