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.
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 Childrens 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 Childrens KWS System.- Development of
Childrens 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.
Lisainfo e-raamatute kohta