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Automatic Assessment of Parkinsonian Speech

This book constitutes the revised and extended papers of the First Automatic Assessment of Parkinsonian Speech Workshop, AAPS 2019, held;

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Automatic Speech Recognition: A Deep Learning Approach

This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep;

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Extraction of Prosody for Automatic Speaker Language Emotion and Speech Recogn

information on the significance of prosody for emotion recognition and various prosody-based approaches for automatic emotion recognition from speech.;

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Information Security for Automatic Speaker Identification

critical areas of automatic speech recognition. Included are topics on speech watermarking, speech encryption, steganography, multilevel security;

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Emulating Human Speech Recognition

This book presents a systematic approach to the automatic recognition of simultaneous speech signals using computational auditory scene;

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Advances in Digital Speech Transmission

error concealment, and new quality assessment methods are emerging. Advances in Digital Speech Transmission provides an up-to-date overview;

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Like Humans Do

This book presents a systematic approach to the automatic recognition of simultaneous speech signals using computational auditory scene;

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Neurological Rehabilitation of Parkinson's Disease

The rehabilitation of Parkinson's disease patients comprises various forms of therapy: physical, speech and psychosocial therapy. Physical;

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Automatic Data Mining Using Speech Signals

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Advances in Nonlinear Speech Processing

organized in topical sections on speech and audio analysis; speech synthesis; speech-based biomedical applications; automatic speech recognition;

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Speech and Computer

of computer speech processing including audio signal processing, automatic speech recognition, speaker recognition, computational paralinguistics;

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Noise Reduction Based on Microphone Array and Post-Filtering

Acoustic interfering noise signals dramatically degrade the performance of many speech applications, such as automatic speech recognition;

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Advantages of System Combination for Spoken Language Translation

such as automatic speech recognition (ASR) and machine translation (MT) systems. In recent years, statistical approaches to both ASR and MT;

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Robust Adaptation to Non-Native Accents in Automatic Speech Recognition

Speech recognition technology is being increasingly employed in human-machine interfaces. A remaining problem however is the robustness;

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Real-Time Automatic Emotion Recognition from Speech

. Therefore, this book investigates real-time automatic emotion recognition from acoustic features of speech in several experiments for suitable audio;

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Text, Speech, and Dialogue

This book constitutes the refereed proceedings of the 19th International Conference on Text, Speech, and Dialogue, TSD 2016, held in Brno;

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Text, Speech, and Dialogue

; speech and spoken language generation; semantic processing of text and speech; integrating applications of text and speech processing; automatic;

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Text, Speech and Dialogue

This book constitutes the refereed proceedings of the 15th International Conference on Text, Speech and Dialogue, TSD 2012, held in Brno;

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Text Speech and Dialogue

; speech and spoken language generation; semantic processing of text and speech; integrating applications of text and speech processing; automatic;

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Advances in Speech and Language Technologies for Iberian Languages

different topics: Speech Production, Analysis, Coding and Synthesis; Automatic Speech Recognition; Paralinguistic Speaker Trait;

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Robust Automatic Speech Recognition

Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech;

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Incorporating Knowledge Sources into Statistical Speech Recognition

Incorporating Knowledge Sources into Statistical Speech Recognition addresses the problem of developing efficient automatic speech;

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Computer Speech

New material treats such contemporary subjects as automatic speech recognition and speaker verification for banking by computer and;

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Who spoke when?

. Generally we can find two main applications for speaker diarization. Automatic Speech Recognition systems make use of the speaker homogeneous;

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Multilingual Speech Processing

. This includes automatic speech recognition and speech synthesis, but also speech-to-speech translation, dialog systems, automatic language;

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Soft Computing Implementation of Automatic Speech Recognition

without GA. The use of GAs for feature optimizers is a novel concept in Automatic Speech Recognition hence the system becomes more robust to noise;

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Spoken Dialogue With Computers

model training, language modeling, and knowledge integration for automatic speech recognition (ASR). The book also presents generation of word;

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