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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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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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Computational Paralinguistics

provide such a systematic survey of paralinguistics in speech and language processing. The technology described has evolved mainly from automatic;

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The Role of Prosody in Affective Speech

manifestation and the interpretation of affective speech in prosody. The second part relies on the way emotion recognition is implemented in synthesis;

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The Prosody of Formulaic Language

nature of formulaic language but have important implications for English Language Teaching and automatic speech synthesis.;

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Information Security for Automatic Speaker Identification

systems comprising speaker identification, real transmission of watermarked or encrypted speech signals, and more. The book is especially useful;

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Advances in Speech and Language Technologies for Iberian Languages

different topics: Speech Production, Analysis, Coding and Synthesis; Automatic Speech Recognition; Paralinguistic Speaker Trait;

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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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Who spoke when?

. Generally we can find two main applications for speaker diarization. Automatic Speech Recognition systems make use of the speaker homogeneous;

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Statistical Language and Speech Processing

; question and answering systems; semantic role labeling; speaker identification and verification; speech and language generation; speech recognition;

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Statistical Language and Speech Processing

; question-answering systems; semantic role labelling; speaker identification and verification; speech and language generation; speech recognition;

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Statistical Language and Speech Processing

selected from 53 submissions. The papers are organized in topical sections on machine translation, speech and speaker recognition, machine learning;

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Computer Speech

New material treats such contemporary subjects as automatic speech recognition and speaker verification for banking by computer and;

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Distant Speech Recognition

background noise, overlapping speech from other speakers, and reverberation. While traditional ASR systems underperform for speech captured with far;

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Human and Automatic Speaker Recognition over Telecommunication Channels

This work addresses the evaluation of the human and the automatic speaker recognition performances under different channel distortions;

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Man-Machine Speech Communication

address issues such as challenging issues in speech recognition and enhancement, speaker and language recognition, speech synthesis, corpus and;

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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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The Oxford Handbook of Language Prosody

trace out the position of prosody in linguistic structure and explore prosody in speech perception and production. Part IV provides overviews;

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Speech Prosody in Speech Synthesis Modeling and generation of prosody for high

The volume addresses issues concerning prosody generation in speech synthesis, including prosody modeling, how we can convey para- and non;

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Natural Language Dialog Systems and Intelligent Assistants

recognition from speech, speech data mining, language resource and databases, machine learning for spoken dialog systems and educational and;

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Natural Language Dialog Systems and Intelligent Assistants

recognition from speech, speech data mining, language resource and databases, machine learning for spoken dialog systems and educational and;

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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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Bayesian Speech & Language Processing

and latent topic models, along with applications including automatic speech recognition, speaker verification, and information retrieval;

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Optimization techniques for speech emotion recognition

The aim of a speech emotion recognizer is to produce an estimate of the emotional state of the speaker given a speech fragment as an input;

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Second Language Teacher Prosody

descriptions and interpretations of prosodic behaviors based upon teachers' training and experience, their native or near-native speaker status, and;

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Second Language Teacher Prosody

descriptions and interpretations of prosodic behaviors based upon teachers' training and experience, their native or near-native speaker status, and;

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Development of Prosody & Prosodic Structure

structure, and prosodic disorders in clinical populations. The book is written for advanced undergraduate students, graduate students, as well as;

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