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Discriminative Learning for Speech Recognition

detailed study is presented on unifying the common objective functions for discriminative learning in speech recognition, namely maximum mutual;

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Distant Speech Recognition

A complete overview of distant automatic speech recognition The performance of conventional Automatic Speech Recognition (ASR) systems;

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Deep Learning for NLP and Speech Recognition

Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech;

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Deep Learning for Nlp and Speech Recognition

Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech;

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Introduction to Statistical Machine Learning

machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas;

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Self-Learning Speaker Identification

characteristics. This work develops an integrated approach for speech and speaker recognition in order to gain space for self-learning opportunities;

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Similarity Based Pattern Recognition

This book constitutes the proceedings of the Third International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD;

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Robust Automatic Speech Recognition

methods in the current era of deep learning for acoustic modeling in speech recognition The first book that provides a;

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Automatic Speech Recognition: A Deep Learning Approach

learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the;

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Similarity-Based Pattern Recognition

This book constitutes the proceedings of the Second International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD;

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Extraction of Prosody for Automatic Speaker Language Emotion and Speech Recogn

This updated book expands upon prosody for recognition applications of speech processing. It includes importance of prosody for speech;

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Deep Learning with Python

recognition, text classification, question answering, text-to-speech, and optical character recognition. Deep Learning with Python;

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Deep Learning with Applications Using Python

Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and;

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Text Dependent Speaker Recognition

recognition. Applications of speaker recognition are becoming ubiquitous, especially after the increased terrorist activities around the world. Speech;

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Phase-based Speech Processing

, in comparison with amplitude, is often ignored for speech recognition applications. Thus, this book highlights some of the important ways in which the;

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Phase-based Speech Processing

, in comparison with amplitude, is often ignored for speech recognition applications. Thus, this book highlights some of the important ways in which the;

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The Path of Speech Technologies in Computer Assisted Language Learning

This collection examines the promise and limitations for computer-assisted language learning of emerging speech technologies: speech;

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The Path of Speech Technologies in Computer Assisted Language Learning

This collection examines the promise and limitations for computer-assisted language learning of emerging speech technologies: speech;

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Noise Reduction Based on Microphone Array and Post-Filtering

system and speech communication system, in practical environments. For example, for automatic speech recognition system, noises result in the;

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Robust Speaker Recognition in Noisy Environments

for robust speaker recognition, (d) Total variability modeling (i-vectors) in a discriminative framework and (e) Boosting method to fuse;

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Contemporary Methods for Speech Parameterization

Contemporary Methods for Speech Parameterization offers a general view of short-time cepstrum-based speech parameterization and provides a;

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Speech Recognition in Adverse Conditions

Speech recognition in 'adverse conditions' has been a familiar area of research in computer science, engineering, and hearing sciences for;

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Speech Recognition

Automatic Speech Recognition (ASR) is the enabling technology for hands-free dictation and voice-triggered computer menus. It is becoming;

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Speech Perception and Spoken Word Recognition

Speech Perception and Spoken Word Recognition features contributions from the field's leading scientists, and covers recent developments;

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Speech Perception and Spoken Word Recognition

Speech Perception and Spoken Word Recognition features contributions from the field's leading scientists, and covers recent developments;

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Video Analytics. Face and Facial Expression Recognition

, and the Second International Workshop on Deep Learning for Pattern Recognition, DLPR 2018, held at the 24th International Conference on;

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Textbook on Pattern Recognition

& Uniform PDF methods Coverage of Optical Character recognition, face recognition, and speech recognition and image analysis. The information;

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