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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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Robust Automatic Speech Recognition

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

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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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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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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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Deep Learning with Python

DESCRIPTION Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech;

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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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Deep Learning

. In addition, it provides an insight of deep neural networks in action with illustrative coding examples. Deep learning is a new area of machine;

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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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Machine Learning Deep Learning and Computational Intelligence for Wireless Comm

mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor;

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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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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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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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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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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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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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Recent Advances in Information and Communication Technology 2020

language processing, speech recognition, image and video processing, and deep learning. In turn, the topics represent major research and;

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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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Deep Learning for Data Analytics

and Challenges provides readers with a focused approach for the design and implementation of deep learning concepts using data analytics;

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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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Robust Parallel Speech Recognition

This book focuses on automatic speech recognition in clean and noisy or reverbrant environments. Therefore, a parallel speech recognition;

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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

, and driverless cars. Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones;

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Automatic Assessment of Parkinsonian Speech

research on the automatic assessment of parkinsonian speech from the point of view of such disciplines as machine learning, speech technology;

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Deep Learning

Edition Style and approach This course aims to create a smooth learning path that will teach you how to effectively use deep learning with Java;

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Deep Learning Neural Networks

to a broad field of applications ranging from computer security, speech recognition, image and video recognition to industrial fault;

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