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.

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.