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Robust Adaptation to Non-Native Accents in Automatic Speech Recognition

non-native data is described and combined with the previous techniques to produce a robust adaptation to non-native accents in an automatic;

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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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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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Statistical Pronunciation Modeling for Non-Native Speech Processing

in phonetics and automatic speech and speaker recognition.;

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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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Robust Parallel Speech Recognition

form a single recognition result. As shown on different data sets the parallel speech recognition system is much more robust to noise and;

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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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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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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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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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Speech Recognizer Adaptation

This book focuses on the adaptation of speech recognizers to noisy or reverberant environment. Therefore, three corpora in different noise;

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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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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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Speech Processing in Mobile Environments

provide insights into designing and developing robust methods to process the speech in mobile environments. Covering temporal and spectral;

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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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English File - Elementary (third edition) class audio-cd's

students to a wide variety of language, speed of speech and British and American accents, as well as some non-native speakers of English;

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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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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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Machine Learning in Translation Corpora Processing

volume to develop an automatic and robust Polish-to-English translation system to meet specific translation requirements and to develop bilingual;

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Machine Learning in Translation Corpora Processing

volume to develop an automatic and robust Polish-to-English translation system to meet specific translation requirements and to develop bilingual;

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Handling Emotions in Human-Computer Dialogues

. With the robust recognition of emotions from speech signals as their goal, the authors analyze the effectiveness of using a plain emotion;

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Digital Speech Processing

A study of digital speech processing, synthesis and recognition. This second edition contains new sections on the international;

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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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Distant Speech Recognition

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

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Perceiving Identity Through Accent

Given the increasing use of English worldwide and in intercultural communication, there is a growing interest in attitudes towards non;

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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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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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