001484400 000__ 09073cam\\2200745\i\4500
001484400 001__ 1484400
001484400 003__ OCoLC
001484400 005__ 20240117003323.0
001484400 006__ m\\\\\o\\d\\\\\\\\
001484400 007__ cr\un\nnnunnun
001484400 008__ 231129s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001484400 019__ $$a1410592558$$a1410594016
001484400 020__ $$a9783031483097$$q(electronic bk.)
001484400 020__ $$a303148309X$$q(electronic bk.)
001484400 020__ $$z9783031483080
001484400 0247_ $$a10.1007/978-3-031-48309-7$$2doi
001484400 035__ $$aSP(OCoLC)1411004081
001484400 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX$$dOCLCO
001484400 049__ $$aISEA
001484400 050_4 $$aQA76.9.N38
001484400 08204 $$a006.3/5$$223/eng/20231129
001484400 1112_ $$aInternational Conference Speech and Computer$$n(25th :$$d2023 :$$cDharwad, India ; Online)
001484400 24510 $$aSpeech and computer :$$b25th International Conference, SPECOM 2023, Dharwad, India, November 29 - December 2, 2023, Proceedings.$$nPart I /$$cAlexey Karpov, K. Samudravijaya, K. T. Deepak, Rajesh M. Hegde, Shyam S. Agrawal, S. R. Mahadeva Prasanna, editors.
001484400 2463_ $$aSPECOM 2023
001484400 264_1 $$aCham :$$bSpringer,$$c2023.
001484400 300__ $$a1 online resource (xxv, 642 pages) :$$billustrations (some color).
001484400 336__ $$atext$$btxt$$2rdacontent
001484400 337__ $$acomputer$$bc$$2rdamedia
001484400 338__ $$aonline resource$$bcr$$2rdacarrier
001484400 4901_ $$aLecture notes in artificial intelligence
001484400 4901_ $$aLecture notes in computer science ;$$v14338
001484400 4901_ $$aLNCS sublibrary, SL 7, Artificial intelligence
001484400 500__ $$aIncludes author index.
001484400 5050_ $$aAutomatic 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.
001484400 506__ $$aAccess limited to authorized users.
001484400 520__ $$aThe two-volume proceedings set LNAI 14338 and 14339 constitutes the refereed proceedings of the 25th International Conference on Speech and Computer, SPECOM 2023, held in Dharwad, India, during November 29-December 2, 2023. The 94 papers included in these proceedings were carefully reviewed and selected from 174 submissions. They focus on all aspects of speech science and technology: automatic speech recognition; computational paralinguistics; digital signal processing; speech prosody; natural language processing; child speech processing; speech processing for medicine; industrial speech and language technology; speech technology for under-resourced languages; speech analysis and synthesis; speaker and language identification, verification and diarization.
001484400 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 29, 2023).
001484400 650_6 $$aTraitement automatique des langues naturelles$$vCongrès.
001484400 650_6 $$aReconnaissance automatique de la parole$$vCongrès.
001484400 650_6 $$aTraitement automatique de la parole$$vCongrès.
001484400 650_6 $$aLinguistique$$vCongrès.
001484400 650_0 $$aNatural language processing (Computer science)$$vCongresses.$$vCongresses$$0(DLC)sh2008108333
001484400 650_0 $$aAutomatic speech recognition$$vCongresses.
001484400 650_0 $$aSpeech processing systems$$vCongresses.$$vCongresses$$0(DLC)sh2008111655
001484400 650_0 $$aHuman-computer interaction$$vCongresses.$$vCongresses$$0(DLC)sh2008105861
001484400 650_0 $$aLinguistics$$vCongresses.$$0(DLC)sh 85004780
001484400 655_0 $$aElectronic books.
001484400 7001_ $$aKarpov, Alexey,$$eeditor.$$1https://orcid.org/0000-0003-3424-652X
001484400 7001_ $$aSamudravijaya, K.$$eeditor.$$0(orcid)0000-0002-0104-8730$$1https://orcid.org/0000-0002-0104-8730
001484400 7001_ $$aDeepak, K. T.$$eeditor.
001484400 7001_ $$aHegde, Rajesh M.$$eeditor.
001484400 7001_ $$aAgrawal, S. S.$$q(Shyam Sunder),$$eeditor.$$0(OCoLC)oca04956199
001484400 7001_ $$aPrasanna, S. R. Mahadeva,$$eeditor.$$1https://orcid.org/0000-0002-8135-7938
001484400 77608 $$iPrint version:$$aKarpov, Alexey$$tSpeech and Computer$$dCham : Springer,c2023
001484400 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001484400 830_0 $$aLecture notes in computer science ;$$v14338.
001484400 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001484400 852__ $$bebk
001484400 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-48309-7$$zOnline Access$$91397441.1
001484400 909CO $$ooai:library.usi.edu:1484400$$pGLOBAL_SET
001484400 980__ $$aBIB
001484400 980__ $$aEBOOK
001484400 982__ $$aEbook
001484400 983__ $$aOnline
001484400 994__ $$a92$$bISE