Speech and Computer

25th International Conference, SPECOM 2023, Dharwad, India, November 29 ¿ December 2, 2023, Proceedings, Part I
Herausgegeben:Karpov, Alexey; Samudravijaya, K.; Deepak, K. T.; Hegde, Rajesh M.; Agrawal, Shyam S.; Prasanna, S. R. Mahadeva

• Broschiertes Buch

Produktbeschreibung

The two-volume proceedings set LNAI 14338 and 14339 constitutes the refereed proceedings of the 25th International Conference on Speech and Computer, SPECOM 2023, held in Dharwad, India, during November 29-December 2, 2023.
The 94 papers included in these proceedings were carefully reviewed and selected from 174 submissions. They focus on all aspects of speech science and technology: automatic speech recognition; computational paralinguistics; digital signal processing; speech prosody; natural language processing; child speech processing; speech processing for medicine; industrial speech and language technology; speech technology for under-resourced languages; speech analysis and synthesis; speaker and language identification, verification and diarization.

Produktdetails

• Lecture Notes in Computer Science 14338
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-48308-0
• 1st ed. 2023
• Seitenzahl: 668
• Erscheinungstermin: 22. November 2023
• Englisch
• Abmessung: 235mm x 155mm x 36mm
• Gewicht: 996g
• ISBN-13: 9783031483080
• ISBN-10: 3031483081
• Artikelnr.: 69125887

Inhaltsangabe

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.