tools rhythm compmusicseminar · 14 dec, 2013 ajay srinivasamurthy akshay anantapadmanabhan,...
TRANSCRIPT
Computational Tools for Rhythm Analysis
CompMusic Seminar, IIT Madras, Chennai, India 14 Dec, 2013
Ajay Srinivasamurthy
Akshay Anantapadmanabhan, Vinutha T Prasad, Vignesh Ishwar
Computational rhythm analysis
§ Rhythm § Musical events in time that group into patterns
§ Computational Tools § Understand temporal aspects of music
Patterns Structures
Tasks
Onset Detection
Tāla Tracking
Segmentation
Rhythmic pattern extraction
Rhythmic similarity
Simple
Complex
Tasks
Onset Detection
Tāla Tracking
Segmentation
Rhythmic pattern extraction
Rhythmic similarity
Simple
Complex
Onset Detection
Onset Detection
§ Many sources § Different spectral characteristics
Onset Detection
§ Mridangam stroke onsets § Right and Left
Pre-processing: Melody Suppression Original
Melody Suppressed
Jagadanandakaraka, Pure Expressions by Aneesh Vidyashankar
Mridangam Onsets: Right
Jagadanandakaraka, Pure Expressions by Aneesh Vidyashankar
Mridangam Onsets: Left
Jagadanandakaraka, Pure Expressions by Aneesh Vidyashankar
Tāla Tracking
Tāla recognition
Tāla tracking
§ Tracking events in the tāla cycle § Akshara, beats, sama, edupu (of a composition)
§ Supervised
Akshara period
§ Periodicity in onsets § Correct metrical level – aksharas
Aksharas
Onsets Tempogram
Ajay Srinivasamurthy, Xavier Serra, “A Supervised Approach to Hierarchical Metrical Cycle Tracking from Audio Music Recordings”, submiHed to ICASSP 2014.
Prior knowledge about Akshara
period
Akshara tracking
Jagadanandakaraka, Pure Expressions by Aneesh Vidyashankar
Where are the sama ?
Jagadanandakaraka, Pure Expressions by Aneesh Vidyashankar
Tracking the sama
Jagadanandakaraka, Pure Expressions by Aneesh Vidyashankar
Model for tāla structure
Model for sama characteristics
Learning the sama
Jagadanandakaraka, Pure Expressions by Aneesh Vidyashankar
Model for tāla structure
Need an audio collec,on with expert annota,ons
Model for sama characteristics
Tāla tracking in Dunya
The goal !
Svara raga sudha, Rendezvous with Legends, ChiRbabu (Veena) 2 kalai
The goal !
Jaya Jaya, Maestro in Concert, Dr. M L Vasanthakumari
Rhythm based similarity: Tāla
§ Listener participation § Structural Similarity
§ Based on components of a tāla
User feedback
Identify tāla components
Compute similarity measures
Segmentation
Structural segmentation: Concert
A part of a concert
Kriti
Tani āvartanam
Padi Sarala and Hema A Murthy, “Inter and intra segmentaWon of CarnaWc music recordings for archival,” in Proc. ISMIR 2013, Brazil.
Structural segmentation: Kriti
Pallavi, Anupallavi, Charanam, Swaram, Niraval
Rhythmogram
Ragam-Tanam-Pallavi
Percussion solo – Tabla
Percussion solo
Tani āvartanam transcription
Machine Learning Stroke Models
Thom
Tha Dheem
Strokes
Stroke Sequences Transcribed Strokes
Training Testing
Akshay Anantapadmanabhan, Ashwin Bellur, Hema Murthy, “Modal Analysis and TranscripWon of Strokes of the Mridangam using Non-‐negaWve Matrix FactorizaWon”, in Proc. of 38th InternaWonal Conference on AcousWcs, Speech, and Signal Processing (ICASSP), 2013.
Rhythmic patterns and similarity
Discovery and representation
Rhythm Similarity – Patterns
In the future…
From Ninne NammiW, December Season 2007, Gayathri Girish
From Ninne NammiW, PaddhaR -‐ K V Narayanaswamy & N Ramani, by K V Narayanaswamy & N Ramani, 2003
From Ninne Nammi Nanu, December Season 2003, O.S. Thyagarajan
The question
From Ninne NammiW, PaddhaR -‐ K V Narayanaswamy & N Ramani, by K V Narayanaswamy & N Ramani, 2003
From Ninne Nammi Nanu, December Season 2003, O.S. Thyagarajan
?
Carnatic Music Beat Station
Thank you!
Extra slides
Periodicity and Continuity
Sama tracking
§ Knowledge-based
Ajay Srinivasamurthy, Xavier Serra, “A Supervised Approach to Hierarchical Metrical Cycle Tracking from Audio Music Recordings”, submiHed to ICASSP 2014.
Onsets
Model for Tala structure
Audio features
Cycle Period
Possible locations
Sama Tracking
Annotated Test Corpus
Ajay Srinivasamurthy, Xavier Serra, “A Supervised Approach to Hierarchical Metrical Cycle Tracking from Audio Music Recordings”, submiHed to ICASSP 2014.
Model for Tala structure
Audio features
Sama Candidates
Onsets
Sama Period
Sama Tracking
Need a test corpus with expert annota,ons
Rhythm Similarity