Ajay Srinivasamurthy

Orcid: 0000-0002-9032-7909

According to our database1, Ajay Srinivasamurthy authored at least 25 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2023
Report on the 23rd International Society for Music Information Retrieval Conference (ISMIR 2022).
SIGIR Forum, June, 2023

Unified Modeling of Multi-Domain Multi-Device ASR Systems.
Proceedings of the Text, Speech, and Dialogue - 26th International Conference, 2023

2018
Saraga: research datasets of Indian Art Music.
Dataset, May, 2018

Saraga: research datasets of Indian Art Music.
Dataset, May, 2018

Iterative Learning of Speech Recognition Models for Air Traffic Control.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017
Aspects of Tempo and Rhythmic Elaboration in Hindustani Music: A Corpus Study.
Frontiers Digit. Humanit., 2017

Melodic shape stylization for robust and efficient motif detection in Hindustani vocal music.
Proceedings of the Twenty-third National Conference on Communications, 2017

Informed Automatic Meter Analysis of Music Recordings.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Metrical-Accent Aware Vocal Onset Detection in Polyphonic Audio.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Semi-Supervised Learning with Semantic Knowledge Extraction for Improved Speech Recognition in Air Traffic Control.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

A context-aware speech recognition and understanding system for air traffic control domain.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016
A Data-driven bayesian approach to automatic rhythm analysis of indian art music.
PhD thesis, 2016

On the Use of Note Onsets for Improved Lyrics-To-Audio Alignment in Turkish Makam Music.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

A generalized Bayesian model for tracking long metrical cycles in acoustic music signals.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Particle Filters for Efficient Meter Tracking with Dynamic Bayesian Networks.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

Discovery of Syllabic Percussion Patterns in Tabla Solo Recordings.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

2014
Beijing Opera Percussion Instrument Dataset.
Dataset, March, 2014

Transcription and Recognition of Syllable based Percussion Patterns: The Case of Beijing Opera.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Tracking the "Odd": Meter Inference in a Culturally Diverse Music Corpus.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Corpora for Music Information Research in Indian Art Music.
Proceedings of the Music Technology meets Philosophy, 2014

A study of instrument-wise onset detection in Beijing Opera percussion ensembles.
Proceedings of the IEEE International Conference on Acoustics, 2014

A supervised approach to hierarchical metrical cycle tracking from audio music recordings.
Proceedings of the IEEE International Conference on Acoustics, 2014

2012
Tok! : A Collaborative Acoustic Instrument using Mobile Phones.
Proceedings of the 12th International Conference on New Interfaces for Musical Expression, 2012

Chord Recognition Using Duration-explicit Hidden Markov Models.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

2010
Multi-channel iterative dereverberation based on codebook constrained iterative multi-channel wiener filter.
Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010


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