| |||||||||||||||
FRSM 2020 : 25th International Symposium on Frontiers of Research in Speech and Music | |||||||||||||||
Link: http://frsm2020.nits.ac.in | |||||||||||||||
| |||||||||||||||
Call For Papers | |||||||||||||||
FRSM 2020 solicits high quality unpublished original research paper in the field following tracks but not limited to-
Track I: Speech Modeling Aspect of Speech: • Speech analysis and representation • Analysis of Speech and Audio Signals • Audio signal analysis and representation • Speech and audio segmentation • Speech and audio classification • Speech coding and transmission • Perceptual audio coding of speech signals • Noise reduction for speech signals • Speech enhancement: single-channel • Speech enhancement: multi-channel • Speech intelligibility • Speech enhancement in hearing aids • Echo cancelation for speech signals • Statistical parametric speech synthesis • Speech enhancement • Speech synthesis • Speech translation systems • Spoken dialogue systems • Speech Acquisition • Speech acoustics • Models of speech production • Voice activity detection • Pitch and harmonic analysis • Speaker spatial localization • Phonation and voice quality • Far field and microphone array speech recognition • Language identification and verification • Dialect and accent recognition • Speech transcription • Pronunciation variants and modeling for speech recognition • Speech analysis in the presence of music • Singing analysis • Synthesis of singing voices • Voice modification, conversion and morphing • Concept-to-speech conversion • Tools and data for speech synthesis • Conversation, communication and interaction • Stochastic modeling for dialog • Question-answering from speech • Language modeling for conversational speech (dialog, interaction) • Evaluation and quality insurance of language resources • Evaluation of speech transmission, coding and enhancement • Evaluation of speaker and language identification systems • Evaluation of speech synthesis • Evaluation of speech and multimodal dialog systems Computation Aspect of Speech: • Speaker recognition • Speech analytics and audio mining • Speech recognition and understanding • Voice assistants • Feature extraction • Audio-visual speech processing • Deep learning for speech processing • Human-machine interaction • Language identification • Multimodal analysis and synthesis • Analysis of speaker states • Analysis of speaker traits • Automatic analysis of speaker states • Automatic analysis of speaker traits • Features for speaker and language recognition • Speech Synthesis and Spoken Language Generation • Computational resource constrained speech recognition • Spoken machine translation • Speech-to-speech translation systems • Voice search • Spoken term detection • Metadata descriptions of speech, audio and text resources • Automatic segmentation and labeling of resources Cognitive Aspect of Speech: • Speech perception • Models of speech perception • Speech and voice disorders • Neurophysiology of speech production and perception • Interaction speech production-speech perception • Multimodal speech perception • Cognition and brain studies on speech • Code switching and multilingual studies • Combining speech and other biosignals • Hearing disorders • Pathological speech and language Track II: Music Signal Aspect of Music • Music signal processing • Symbolic music processing • Sound source separation • Music transcription and annotation • Music summarization • Representations of music • Music synthesis and transformation • Mathematical Analysis of Musical Instruments • Controllers and interfaces for musical expression • Segmentation and form • Melody extraction • Timbre, instrumentation and voice • Rhythm, beat and tempo • Rhythm, Meter and Timing • Noise reduction from music • Music pattern matching and detection • Music Theory • Mathematical Models in Music • Mathematical Models in Acoustics • Musical features and properties Computational Aspect of Music • Computational music theory • Machine learning in music • Artificial Intelligence in Music • Automatic classification • Automatic Music Composition • Computational Acoustics • Computational music theory and musicology • Computers in Music Composition • Digital libraries and archives • E-Learning and Music • Evaluation Methodology for Music • Evaluation Metrics for Music • Indexing and querying of Music • Music metadata, tags, linked data, and semantic web • Music lyrics and other textual data • Digital Representations of music • Human-computer interaction • Music information retrieval • Music similarity Analysis • Automatic classification of Music • Music recommendation • Music informatics • Music recognition • Pattern Recognition in Music • Music fingerprinting • Musical human-computer interaction Cognitive Aspect of Music • Musical style and Genre • Musical affect, emotion and mood • Expression and performative aspects of music • Philosophical and methodological foundations for Music • Motion, gesture and music • Aesthetic Perception and Response • Music training and education • Music Engineering • Musicology • Psychoacoustics • Audio-Visual Perception of music • Ethnomusicology • Cognitive Musicology • Music and Neuroscience • Memory and Music • Music Perception and Cognition • Music and Psychology • Music and Personality • Social Psychology of Music Track III: Application Applications of Speech • Forensic speech investigations • Virtual and augmented reality • Text processing for speech synthesis • Text mining and sentiment analysis • Speech driving systems in robotics • Speech-based applications • Social signal processing • Sentiment analysis and opinion mining • Speech science in end-user applications • Applications in education and learning • Applications in medical practice • Interactive systems for speech training, therapy, communication aids • Systems for spoken language understanding • Indexing, mining and retrieval of speech and audio documents • Spoken document summarization • Semantic analysis and classification • Entity extraction from speech • Topic spotting and classification • Relevance of language models for mental state detection Applications of Music • Film and Music • Music for Robotics • Music Therapy • Music for mental health • Music as Medicine • Application of natural language processing in music • Mental health expression and experience in popular music • Music for alienation, order and disorder • Music for pain, loss and grief • Music related to specific mental health conditions • Solfeggio and other systems of tonal therapy • Apps and business start-ups that facilitate use of music • Music and mental health of animals • Music and sports psychology • Music and the spiritual mind • Social media, networking and music • Music to address mental health issues in vulnerable communities • Music to improve mental health in schools, businesses and organizations • Music to reduce the social stigma around mental health issues • Online music retrieval systems • Music recommendation and playlist generation • Music for well-being and therapy • Music training and education • Music for gaming The symposium proceedings will be proposed to published in LNCS, Springer. |
|