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25th FRSM 2020 : 25th International symposium on Frontiers of Research in Speech and Music (FRSM 2020)

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Link: http://frsm2020.nits.ac.in
 
When Oct 8, 2020 - Oct 9, 2020
Where Silchar, India
Submission Deadline Aug 7, 2020
Notification Due Aug 31, 2020
Final Version Due Sep 10, 2020
Categories    speech   speech and language processing   music   machine learning
 

Call For Papers

The 25th international symposium (Silver Jubilee Year) on “Frontiers of Research in Speech and Music (FRSM 2020)” is being organized jointly by Jadavpur University, Kolkata and National Institute of Technology, Silchar, Assam during 8-9 October, 2020 at National Institute of Technology Silchar, Assam, India. For the first time the FRSM is to be organized in northeast region of India at National Institute of Technology Silchar, Assam. In continuation with the twenty four years of success the 25th Silver Jubilee edition of FRSM welcomes the researchers around the world to explore the natural beauty and Tea gardens of Assam.

All the accepted and presented papers will publish in Springer AISC Series (https://www.springer.com/series/11156).

The papers will be indexed in ISI Conference Proceedings Citation Index - Science (CPCI-S), included in ISI Web of Science, DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, Scopus. Some outstanding papers are to be invited to submit as an extended paper in the reputed journals indexed in SCI, SCI-E, SCOPUS, ESCI and Web of Science. List of journals will be updated soon.

FRSM 2020 Website: http://frsm2020.nits.ac.in

Important Dates:
Paper Submissions due: 07/08/2020
Author notification: 31/08/2020
Camera-ready paper due: 10/09/2020
Registration deadline: 10/09/2020
Conference date: 08-09 October 2020

Easychair submission Link: https://easychair.org/conferences/?conf=frsm2020

Note: In view of Corona Virus (COVID-19) pandemic, FRSM 2020 will consider online (virtual) mode of presentation for the participants.

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 cancellation for speech signals, Statistical parametric speech synthesis
• Speech enhancement, Speech synthesis, Speech translation systems, Spoken dialogue systems, Speech Acquisition, Speech acoustics, Speech production
• Voice activity detection, Pitch and harmonic analysis, localization, Phonation and voice quality, 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
• 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
• 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

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