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Automatic speech recognition (ASR) systems are finding increasing use in everyday life. Many of the commonplace environments where the systems are used are noisy, for example users calling up a voice search system from a busy cafeteria or a street. This can result in degraded speech recordings and adversely affect the performance of speech recognition systems. As the use of ASR systems increases, knowledge of the state-of-the-art in techniques to deal with such problems becomes critical to system and application engineers and researchers who work with or on ASR technologies. This book...

The authors develop an understanding of sound beyond shallow analysis paradigms, and relax many of the constraining assumptions. They also present structured models for computational modeling in sound using weak or no supervision. Novel algorithms and a hierarchical framework are provided.