Industrial Speech and Language Technology -- Analysing Breathing Patterns in Reading and Spontaneous Speech -- Audio-Visual Speaker Verification via Joint Cross Attention -- A Novel Scheme to Classify Read and Spontaneous Speech -- Analysis of a Hinglish ASR System's Performance for Fraud Detection -- Anomaly Detection in Speech: A Comprehensive Approach for Enhanced Speech Analysis -- CAPTuring Accents: An Approach to Personalize Pronunciation Training for Learners with Different L1 Backgrounds -- Speech Technology for Under-Resourced Languages -- Improvements in Language Modeling, Voice Activity Detection, and Lexicon in OpenASR21 Low Resource Languages -- Phone Durations Modeling for Livvi-Karelian ASR -- Significance of Indic Self-Supervised Speech Representations for Indic Under-Resourced ASR -- Study of Various End-to-End Keyword Spotting Systems on the Bengali language under Low-Resource Condition -- Bridging the Gap: Towards Linguistic Resource Development for the Low-Resource Lambani Language -- Studying the Effect of Frame-Level Concatenation of GFCC and TS-MFCC Features on Zero-Shot Children's ASR -- Code-Mixed Text-to-Speech Synthesis under Low-Resource Constraints -- An End-to-End TTS Model in Chhattisgarhi, a Low-Resource Indian Language -- An ASR Corpus in Chhattisgarhi, a Low Resource Indian Language -- Cross Lingual Style Transfer using Multiscale Loss Function for Soliga: A Low Resource Tribal Language -- Preliminary Analysis of Lambani Vowels and Vowel Classification using Acoustic Feature -- Curriculum Learning based Approach for Faster Convergence of TTS Model -- Rhythm Measures and Language Endangerment: the Case of Deori -- Konkani Phonetic Transcription System 1.0 -- Speech Analysis and Synthesis -- E-TTS: Expressive Text-to-Speech Synthesis for Hindi using Data Augmentation -- Direct vs Cascaded Speech-to-Speech Translation using Transformer -- Deep Learning based Speech Quality Assessment Focusing on Noise Effects -- Quantifying the Emotional Landscape of Music with Three Dimensions -- Analysis of Mandarin vs. English Language for Emotional Voice Conversion -- Audio DeepFake Detection Employing Multiple Parametric Exponential Linear Units -- A Comparison of Learned Representations with Jointly Optimized VAE and DNN for Syllable Stress Detection -- On the Asymptotic Behaviour of the Speech Signal -- Improvement of Audio-Visual Keyword Spotting System Accuracy using Excitation Source Feature -- Developing a Question Answering System on the material of Holocaust survivors' testimonies in Russian -- Enhancing Children's Short Utterance based ASV using Data Augmentation Techniques and Feature Concatenation Approach -- Studying the Effectiveness of Data Augmentation and Frequency-DomainLinear Prediction Coefficients in Children's Speaker Verification under Low-Resource Conditions -- Constant-Q based Harmonic and Pitch Features for Normal vs Pathological Infant Cry Classification -- Robustness of Whisper Features for Infant Cry Classification -- Speaker and Language Identification, Verification, and Diarization -- I-MSV 2022: Indic-Multilingual and Multi-Sensor Speaker Verification Challenge -- Multi-Task Learning over Mixup Variants for the Speaker Verification Task -- Exploring the Impact of Different Approaches for Spoken Dialect Identification of Konkani Language -- Adversarially Trained Hierarchical Attention Network for Domain-Invariant Spoken Language Identification -- Ensemble of Incremental System Enhancements for Robust Speaker Diarization in Code-Switched Real-Life Audios -- Enhancing Language Identification in Indian Context through Exploiting Learned Features with Wav2Vec2.0 -- Design and Development of Voice OTP Authentication System -- End-to-End Native Language Identification using a Modified Vision Transformer(ViT) from L2 English Speech -- Dialect Identification in Ao using Modulation-based Representation -- Self-Supervised Speaker Verification Employing Augmentation Mix and Self-Augmented Training-based Clustering. .

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.