Title:
Speech and Computer 25th International Conference, SPECOM 2023, Dharwad, India, November 29 - December 2, 2023, Proceedings, Part I
Author:
Karpov, Alexey. editor.
ISBN:
9783031483097
Edition:
1st ed. 2023.
Physical Description:
XXV, 642 p. 226 illus., 158 illus. in color. online resource.
Series:
Lecture Notes in Artificial Intelligence, 14338
Contents:
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 Experience of Classification -- Child Speech Processing -- Recognition of the Emotional State of Children by Video and Audio Modalities by Indian and Russian Experts -- Effect of Linear Prediction Order to Modify Formant Locations for Children Speech Recognition -- Gammatone-Filterbank based Pitch-Normalized Cepstral Coefficients for Zero-Resource Children's ASR -- System Assisted Vocal Response Analysis and Assessment of Autism in Children: A Machine Learning Based Approach -- Addressing Effects of Formant Dispersion and Pitch Sensitivity for the Development of Children's KWS System -- Development of Children's KWS System Perceptual Experiment and Automatic Recognition by Video, Audio and Text Modalities -- Linear Frequency Residual Features for Infant Cry Classification -- Speech Processing for Medicine -- Identification of Voice Disorders: A Comparative Study of Machine Learning Algorithms -- Transfer Learning using Whisper for Dysarthric Automatic Speech Recognition -- Significance of Duration Modification in Reducing Listening Effort of Slurred Speech from Patients with Traumatic Brain Injury -- Significance of Duration Modification in Reducing Listening Effort of Slurred Speech from Patients with Traumatic Brain Injury -- Respiratory Sickness Detection from Audio Recordings using CLIP Models -- Investigating the Effect of Data Impurity on the Detection Performances of Mental Disorders through Spoken Dialogues.
Added Corporate Author:
Electronic Access:
https://doi.org/10.1007/978-3-031-48309-7Copies:
Available:*
Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
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Searching... | E-Book | 521334-1001 | XX(521334.1) | Searching... | Searching... |