001484401 000__ 08198cam\\2200745\i\4500 001484401 001__ 1484401 001484401 003__ OCoLC 001484401 005__ 20240117003323.0 001484401 006__ m\\\\\o\\d\\\\\\\\ 001484401 007__ cr\un\nnnunnun 001484401 008__ 231129s2023\\\\sz\a\\\\o\\\\\101\0\eng\d 001484401 019__ $$a1410591382$$a1410594235 001484401 020__ $$a9783031483127$$q(electronic bk.) 001484401 020__ $$a303148312X$$q(electronic bk.) 001484401 020__ $$z9783031483110 001484401 0247_ $$a10.1007/978-3-031-48312-7$$2doi 001484401 035__ $$aSP(OCoLC)1411004436 001484401 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX$$dOCLCO 001484401 049__ $$aISEA 001484401 050_4 $$aQA76.9.N38 001484401 08204 $$a006.3/5$$223/eng/20231129 001484401 1112_ $$aInternational Conference Speech and Computer$$n(25th :$$d2023 :$$cDharwad, India ; Online) 001484401 24510 $$aSpeech and computer :$$b25th International Conference, SPECOM 2023, Dharwad, India, November 29 - December 2, 2023, Proceedings.$$nPart II /$$cAlexey Karpov, K. Samudravijaya, K. T. Deepak, Rajesh M. Hegde, Shyam S. Agrawal, S. R. Mahadeva Prasanna, editors. 001484401 2463_ $$aSPECOM 2023 001484401 264_1 $$aCham :$$bSpringer,$$c2023. 001484401 300__ $$a1 online resource (xxvi, 568 pages) :$$billustrations (some color). 001484401 336__ $$atext$$btxt$$2rdacontent 001484401 337__ $$acomputer$$bc$$2rdamedia 001484401 338__ $$aonline resource$$bcr$$2rdacarrier 001484401 4901_ $$aLecture notes in artificial intelligence 001484401 4901_ $$aLecture notes in computer science ;$$v14339 001484401 4901_ $$aLNCS sublibrary, SL 7, Artificial intelligence 001484401 500__ $$aIncludes author index. 001484401 5050_ $$aIndustrial 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-Domain Linear 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. 001484401 506__ $$aAccess limited to authorized users. 001484401 520__ $$aThe two-volume proceedings set LNAI 14338 and 14339 constitutes the refereed proceedings of the 25th International Conference on Speech and Computer, SPECOM 2023, held in Dharwad, India, during November 29-December 2, 2023. The 94 papers included in these proceedings were carefully reviewed and selected from 174 submissions. They focus on all aspects of speech science and technology: automatic speech recognition; computational paralinguistics; digital signal processing; speech prosody; natural language processing; child speech processing; speech processing for medicine; industrial speech and language technology; speech technology for under-resourced languages; speech analysis and synthesis; speaker and language identification, verification and diarization. 001484401 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 29, 2023). 001484401 650_6 $$aTraitement automatique des langues naturelles$$vCongrès. 001484401 650_6 $$aReconnaissance automatique de la parole$$vCongrès. 001484401 650_6 $$aTraitement automatique de la parole$$vCongrès. 001484401 650_6 $$aLinguistique$$vCongrès. 001484401 650_0 $$aNatural language processing (Computer science)$$vCongresses.$$vCongresses$$0(DLC)sh2008108333 001484401 650_0 $$aAutomatic speech recognition$$vCongresses. 001484401 650_0 $$aSpeech processing systems$$vCongresses.$$vCongresses$$0(DLC)sh2008111655 001484401 650_0 $$aHuman-computer interaction$$vCongresses.$$vCongresses$$0(DLC)sh2008105861 001484401 650_0 $$aLinguistics$$vCongresses.$$0(DLC)sh 85004780 001484401 655_0 $$aElectronic books. 001484401 7001_ $$aKarpov, Alexey,$$eeditor.$$1https://orcid.org/0000-0003-3424-652X 001484401 7001_ $$aSamudravijaya, K.$$eeditor.$$0(orcid)0000-0002-0104-8730$$1https://orcid.org/0000-0002-0104-8730 001484401 7001_ $$aDeepak, K. T.$$eeditor. 001484401 7001_ $$aHegde, Rajesh M.$$eeditor. 001484401 7001_ $$aAgrawal, S. S.$$q(Shyam Sunder),$$eeditor.$$0(OCoLC)oca04956199 001484401 7001_ $$aPrasanna, S. R. Mahadeva,$$eeditor.$$1https://orcid.org/0000-0002-8135-7938 001484401 77608 $$iPrint version:$$aKarpov, Alexey$$tSpeech and Computer$$dCham : Springer,c2023 001484401 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence. 001484401 830_0 $$aLecture notes in computer science ;$$v14339. 001484401 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence. 001484401 852__ $$bebk 001484401 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-48312-7$$zOnline Access$$91397441.1 001484401 909CO $$ooai:library.usi.edu:1484401$$pGLOBAL_SET 001484401 980__ $$aBIB 001484401 980__ $$aEBOOK 001484401 982__ $$aEbook 001484401 983__ $$aOnline 001484401 994__ $$a92$$bISE