کتاب حاضر یکی از بهترین و جدیدترین کتابها در زمینه پردازش صوت و گفتار، چاپ 2015 است که مقدمه آن در اینجا آورده شده است (تعداد صفحات: 347)
Speech and Audio Processing for Coding, Enhancement and Recognition
by Tokunbo Ogunfunmi and Roberto Togneri and Madihally (Sim) Narasimha
It is without doubt that we live in an interconnected world where we are always within reach of smartphone, tablet or telephone system and through which we are always communicating with friends and family, colleagues and workmates or an automated voicemail or interactive dialog system. Otherwise we just relax and switch on the radio, stream some music or watch a movie. These activities are part of our everyday lives. They have been made possible through the advances in speech and audio processing and recognition technologies which only in the last decade have seen an explosion in usage through a bewildering array of devices and their capabilities.
Speech coding refers to the digital representation of the information-bearing analog speech signal, with emphasis on removing the inherent redundancies. Efficient coding of speech waveforms is essential in a variety of transmission and storage applications such as traditional telephony, wireless communications (e.g., mobile phones), internet telephony, voice-over-internet protocol (VoIP) and voice mail. Many of these applications are currently going through an impressive growth phase.
Speech recognition encompasses a range of diverse technologies from engineering, signal processing, mathematical statistical modelling and computer science language processing necessary to achieve the goal of human–computer interaction using our most natural form of communication: speech. Applications of speech recognition have exploded due to the advent of smartphone technology where the use of the traditional keyboard and mouse has given way to touch and speech and in enterprise automated computer voice response services for enquiries and transactions. We are now experiencing an exponential growth in the adoption of speech recognition in smartphone and mobile technology, in information and transaction services and increased R&D effort on efficient low-cost and low-power implementations, robustness in the presence of ambient noise and reliable language understanding and dialog management.
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