Titlebook: Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech Recognition; Leena Mary Book 2019Latest edition The Author(s), u

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Extraction and Representation of Prosody for Speaker, Language, Emotion, and Speech Recognition,t techniques suggested for automatic extraction of prosodic features are described. The techniques are broadly classified as automatic speech recognizer (ASR)-free and ASR-based approaches. Techniques are further classified on the basis of segmentation approach.

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Modeling and Fusion of Prosody for Speaker, Language, Emotion, and Speech Recognition,represented in a manner useful for the specific recognition task. Since prosody reflects the speaker-specific, language-specific, and sound-specific characteristics, representation should be such a way that it brings out the differences among speaker/language/sound units. Then, it should be modeled

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Modeling and Fusion of Prosody for Speaker, Language, Emotion, and Speech Recognition,appropriately. Various modeling techniques have been employed by the researchers for building prosodic models. Various fusion techniques have been employed for combining evidence from prosodic models with evidence from other sources such as acoustic models and language models.

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