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      Avis sur Speech And Computer Format Broché  - Livre Informatique

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      Présentation Speech And Computer Format Broché

       - Livre Informatique

      Livre Informatique - 01/11/2023 - Broché - Langue : Anglais

      . .

    • Editeur : Springer International Publishing Ag
    • Langue : Anglais
    • Parution : 01/11/2023
    • Format : Moyen, de 350g à 1kg
    • Nombre de pages : 668
    • Expédition : 996
    • Dimensions : 23.5 x 15.5 x 3.6
    • ISBN : 3031483081



    • Biographie:
      Extreme Learning Layer: A Boost for Spoken Digit Recognition with ...

      Sommaire:
      ?Automatic Speech Recognition.- Extreme Learning Layer: A Boost for Spoken Digit Recognition with Spiking Neural Networks.- EMO-AVSR: Two-Level Approach for Audio-Visual Emotional Speech Recognition.- Significance of Audio Quality in Speech-to-Text Translation Systems.- Everyday Conversations: a Comparative Study of Expert Transcriptions and ASR Outputs at a Lexical Level.- Improving Automatic Speech Recognition with Dialect-Specific Language Models.- Emotional speech recognition of Holocaust survivors with deep neural network models for Russian language.- Computational Paralinguistics.- Aggregation Strategies of Wav2vec 2.0 Embeddings for Computational Paralinguistic Tasks.- Rhythm Formant Analysis for Automatic Depression Classification.- Determining Alcohol Intoxication Based on Speech and Neural Networks.- Linear Frequency Residual Cepstral Coefficients for Speech Emotion Recognition.- Enhancing Stutter Detection in Speech using Zero Time Windowing Cepstral Coefficients and Phase Information.- Source and System-based Modulation Approach for Fake Speech Detection.- Digital Signal Processing.- Investigation of Different Calibration Methods for Deep Speaker Embedding based Verification Systems.- Learning to Predict Speech Intelligibility from Speech Distortions.- Sparse Representation Frameworks for Acoustic Scene Classification.- Driver Speech Detection in Real Driving Scenario.- Regularization based Incremental Learning in TCNN for Robust Speech Enhancement Targeting Effective Human Machine Interaction.- Candidate Speech Extraction from Multi-Speaker Single-Channel Audio Interviews.- Post-Processing of Translated Speech by Pole Modification and Residual Enhancement to Improve Perceptual Quality.- Region Normalized Capsule Network based Generative Adversarial Network for Non-Parallel Voice Conversion.- Speech Enhancement using LinkNet Architecture.- ATT:Adversarial Trained Transformer for Speech Enhancement.- Human Identification by Dynamics of Changes in Brain Frequencies Using Artificial Neural Networks.- Speech Prosody.- Analysis of Formant Trajectories of a Speech Signal for the Purpose of Forensic Identification of a Foreign Speaker.- Gestures vs. Prosodic Structure in Laboratory Ironic Speech.- Sounds of < sil > ence: Acoustics of Inhalation in Read Speech.- Prolongations as Hesitation Phenomena in Spoken Speech in First and Second Language.- Study of Indian English Pronunciation Variabilities Relative to Received Pronunciation.- Multimodal Collaboration in Expository Discourse: Verbal and Nonverbal Moves Alignment.- Association of Time Domain Features with Oral Cavity Configuration during Vowel Production and its Application in Vowel Recognition.- Prosodic Interaction Models in a Conversation.- Natural Language Processing.- Development and Research of Dialogue Agents with Long-Term Memory and Web Search.- Pre- and Post-Textual Contexts in Assessment of a Message as Offensive or Defensive Aggression Verbalization.- Boosting Rule-based Grapheme-to-Phoneme Conversion with Morphological Segmentation and Syllabification in Bengali.- Revisiting Assessment of Text Complexity: Lexical and Syntactic Parameters Fluctuations.- Analysis of Natural Language Understanding Systems with L2 Learner Specific Synthetic Grammatical Errors based on Parts-of-Speech.- On the Most Frequent Sequences of Words in Russian Spoken Everyday Language (Bigrams and Trigrams): An...

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