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Speech Recognition Algorithms Based on Weighted Finite-State Transducers

Weighted Finite-State Transducers / Speech Recognition by Weighted Finite-State Transducers / Dynamic Decoders with On-the-fly WFST Operations;

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Finite-state Language Processing

recognition using weighted finite automata. The introduction presents the basic theoretical results in finite-state automata and transducers. These;

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Finite-State Language Processing

recognition using weighted finite automata. The introduction presents the basic theoretical results in finite-state automata and transducers. These;

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Finite-State Text Processing

Weighted finite-state transducers (WFSTs) are commonly used by engineers and computational linguists for processing and generating speech;

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Handbook of Finite State Based Models and Applications

Applicable to any problem that requires a finite number of solutions, finite state-based models (also called finite state machines or;

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Handbook of Finite State Based Models and Applications

Applicable to any problem that requires a finite number of solutions, finite state-based models (also called finite state machines or;

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Language and Automata Theory and Applications

This book constitutes the refereed proceedings of the 12th International Conference on Language and Automata Theory and Applications, LATA;

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Language and Automata Theory and Applications

This book constitutes the refereed proceedings of the 10th International Conference on Language and Automata Theory and Applications, LATA;

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Language and Automata Theory and Applications

This book constitutes the refereed proceedings of the 9th International Conference on Language and Automata Theory and Applications, LATA;

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Implementation and Application of Automata

This book constitutes the refereed proceedings of the 20th International Conference on Implementation and Application of Automata, CIAA;

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Finite-State Techniques

accompanied by full correctness proofs and executable source code in a new programming language, C(M), which focuses on transparency of steps and;

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Real-Time Automatic Emotion Recognition from Speech

not very application-oriented offline studies based on previously recorded and annotated databases with emotional speech were conducted;

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Spoken Dialogue With Computers

-based spoken dialog system, and will prove invaluable to researchers in industry and academia working on speech communication systems and for;

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Speech Recognition

principles of ASR systems, including the theory and implementation issues behind multi-speaker continuous speech recognition. Focusing on the;

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Phase-based Speech Processing

research in phase-based speech processing, starting from the basics of signal processing and recording, to single microphone speech recognition;

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Phase-based Speech Processing

research in phase-based speech processing, starting from the basics of signal processing and recording, to single microphone speech recognition;

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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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Kernel Learning Algorithms for Face Recognition

Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced;

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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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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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Pattern Recognition in Speech and Language Processing

Over the last 20 years, approaches to designing speech and language processing algorithms have moved from methods based on linguistics and;

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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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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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Inference in Hidden Markov Models

) requiring approximate simulation-based algorithms that are also described in detail. Many examples illustrate the algorithms and theory. This book;

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Contemporary Methods for Speech Parameterization

of their variants which have been used on the speech recognition, speaker recognition, and other related speech processing tasks. The main;

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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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