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Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multidisciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, development and management of intelligent systems, neural networks and related machine learning techniques for speech signal processing. Highlights different data analytics techniques in speech signal processing, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and neural networks techniques for speech signal processing Includes coverage of biomodal speech recognition, voice activity detection, spoken language and speech disorder identification, automatic speech to speech summarization, and convolutional neural networks
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Prosodische Information in Der Automatischen Spracherkennung: Berechnung Und Anwendung (Linguistische Arbeiten)
Analyse prosodique (Linguistique) --- Analyse van de prosodie (Taalwetenschap) --- Automatic speech recognition --- Automatische spraakherkenning --- Mechanical speech recognition --- Parole [Reconnaissance automatique ] --- Prosodie--Analyse (Taalwetenschap) --- Reconnaissance automatique de la parole --- Speech recognition [Automatic ] --- Spraakherkenning [Automatische ] --- Mechanical speech recognizer --- Speech recognition, Automatic --- Speech, Intelligibility of --- Pattern recognition systems --- Perceptrons --- Speech perception --- Speech processing systems --- Prosodic analysis (Linguistics) --- Automatic speech recognition.
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Mathematical linguistics --- Artificial intelligence. Robotics. Simulation. Graphics --- Phonetics --- Automatic speech recognition --- Congresses --- -Mechanical speech recognizer --- Speech recognition, Automatic --- Pattern recognition systems --- Perceptrons --- Speech, Intelligibility of --- Speech perception --- Speech processing systems --- Congresses. --- -Congresses --- Automatic speech recognition - Congresses
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Artificial intelligence. Robotics. Simulation. Graphics --- Phonetics --- Automatic speech recognition --- Automatische spraakherkenning --- Mechanical speech recognition --- Parole [Reconnaissance automatique ] --- Reconnaissance automatique de la parole --- Speech recognition [Automatic ] --- Speech synthesis --- Spraakherkenning [Automatische ] --- Spraaksynthese --- Synthèse automatique de la parole --- Parole --- Synthèse --- Synthèse
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Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against acoustic environmental distortion. It provides a thorough overview of classical and modern noise-and reverberation robust techniques that have been developed over the past thirty years, with an emphasis on practical methods that have been proven to be successful and which are likely to be further developed for future applications. The strengths and weaknesses of robustness-enhancing speech recognition techniques are carefully analyzed. The book covers noise-robust techniques designed for acoustic models which are based on both Gaussian mixture models and deep neural networks. In addition, a guide to selecting the best methods for practical applications is provided. The reader will: Gain a unified, deep and systematic understanding of the state-of-the-art technologies for robust speech recognition Learn the links and relationship between alternative technologies for robust speech recognition Be able to use the technology analysis and categorization detailed in the book to guide future technology development Be able to develop new noise-robust methods in the current era of deep learning for acoustic modeling in speech recognition The first book that provides a comprehensive review on noise and reverberation robust speech recognition methods in the era of deep neural networks Connects robust speech recognition techniques to machine learning paradigms with rigorous mathematical treatment Provides elegant and structural ways to categorize and analyze noise-robust speech recognition techniques Written by leading researchers who have been actively working on the subject matter in both industrial and academic organizations for many years
Automatic speech recognition. --- Speech processing systems. --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Mechanical speech recognizer --- Speech recognition, Automatic --- Pattern recognition systems --- Perceptrons --- Speech, Intelligibility of --- Speech perception --- Speech processing systems
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This book is a practical, hands-on guide that provides the reader with a number of clear, step-by-step bite-size recipes.If you are a developer and want to learn about integrating Twilio's API into your websites for telephone solutions, then this book is for you. Basic knowledge of PHP and MySQL is expected.
Automatic speech recognition. --- Speech processing systems. --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Mechanical speech recognizer --- Speech recognition, Automatic --- Pattern recognition systems --- Perceptrons --- Speech, Intelligibility of --- Speech perception --- Speech processing systems
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Automatic speech recognition. --- Speech perception. --- Speech recognition --- Auditory perception --- Psycholinguistics --- Speech --- Mechanical speech recognizer --- Speech recognition, Automatic --- Pattern recognition systems --- Perceptrons --- Speech, Intelligibility of --- Speech perception --- Speech processing systems
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