Transient Detection for Transform Domain Coders

Suresh Babu V, Malot AK, Vijayachandran VM, Vinay MK. Transient Detection for Transform Domain Coders. In: AES Convention 116. Audio Engineering Society; 2004. Paper 6175. Available from: https://aes.org/publications/elibrary-page/?id=12735

@inproceedings{SureshBabu2004_12735,
  author = {Suresh Babu, Venkata and Malot, Ashish Kumar and Vijayachandran, V.M. and Vinay, M.K.},
  title = {{Transient Detection for Transform Domain Coders}},
  booktitle = {AES Convention 116},
  note = {Paper 6175},
  year = {2004},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12735}
}

TY  - CPAPER
TI  - Transient Detection for Transform Domain Coders
AU  - Suresh Babu, Venkata
AU  - Malot, Ashish Kumar
AU  - Vijayachandran, V.M.
AU  - Vinay, M.K.
T2  - AES Convention 116
M1  - Paper 6175
PY  - 2004
DA  - 2004/05/06
UR  - https://aes.org/publications/elibrary-page/?id=12735
PB  - Audio Engineering Society
LA  - en
AB  - State of the art audio encoders are based on transform-domain coding algorithms. Due to time-frequency uncertainty, transform domain coders suffer from ?pre-echo? and ?diffusion? artifacts during transient portions of the signal. These artifacts occur because of large transform lengths used to achieve higher coding gains. Audio encoders employ various tools such as adaptive transform lengths, TNS etc to efficiently code transient portions of the audio signal. Typically audio signals have time domain transients (e.g. castanets), frequency domain transients (e.g. flute, clarinet) and transients observed in speech signals during consonant to vowel transitions etc. Identification of these transients in an audio signal is vital to achieve perceptual quality at low bit-rates. This paper discusses the various transient classes present in audio signals, apart from describing a transient detector employed for efficient modeling of all classes of transients. The proposed transient detector has been incorporated in MPEG-4 AAC encoder, independent of the psycho-acoustic analysis methodology used. Listening tests as well as OPERA scores indicate substantial improvement in audio quality, over the baseline encoder.
ER  -