The automatic extraction of musically relevant attributes from the audio signal is an important component of music data mining systems. Our work is directed towards melody based retrieval with research being actively pursued on pitch detection in polyphonic music and melodic similarity scoring.
In a linguistically motivated approach to speech recognition, acoustic-phonetic representations for phoneme classification are expected to provide greater robustness in the context of speaker, language and environment variability. Acoustic events or landmarks associated with broad phonetic classes are first located in the speech signal. Next appropriate phone class dependent features are extracted from speech samples in the vicinity of the landmark for the recognition of the phone. Our work is presently directed towards the reliable detection of speech landmarks, and the accurate classification of stop consonants.
Speech coding algorithms are judged by their speech quality and the bit-rate. In the low (below 8 kbps) to very low (below 2 kbps) bit rate region, there is a distinct compromise between speech quality and bit rate. However there are a number of applications where voice compression at very low bit rates is essential. Our own research efforts are directed toward "communication" quality speech coding at bit rates below 2 kbps. We are actively involved in developing a communication-quality speech codec based on the Multiband Excitation (MBE) model to operate at a range of bit rates below 2 kbps with a complexity suitable for a real-time DSP implementation.
FRSM 2012 CompMusic Workshop
Schedule:
http://compmusic.upf.edu/node/111
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Our Article in Pulse (Science and Technology Magazine of IIT Bombay)
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TANSEN - Query-by-Humming System installed in Science Express
DAPLAB's
TANSEN QBH system is
on exhibition in the World of Senses coach on the Science Express
- a unique
Science Exhibition running on the Indian Rail tracks.
With a
database of more than 300 songs and visual feedback of singing skill,
the
prototype provides an educational experience on sound processing to the
thousands of visitors to the Exhibition.
Video
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