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» Bi-Spectral Acoustic Features for Robust Speech Recognition
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ICASSP
2009
IEEE
14 years 2 months ago
Affine invariant features and their application to speech recognition
This paper proposes a set of affine invariant features (AIFs) for sequence data. The proposed AIFs can be calculated directly from the sequence data, and their invariance to af...
Yu Qiao, Masayuki Suzuki, Nobuaki Minematsu
AUSAI
2004
Springer
14 years 28 days ago
Reliable Unseen Model Prediction for Vocabulary-Independent Speech Recognition
Speech recognition technique is expected to make a great impact on many user interface areas such as toys, mobile phones, PDAs, and home appliances. Those applications basically re...
Sungtak Kim, Hoirin Kim
ICASSP
2008
IEEE
14 years 2 months ago
Multisensor multiband cross-energy tracking for feature extraction and recognition
In this paper, we present a multisensor multiband energy tracking scheme for robust feature extraction in noisy environments. We introduce a multisensor feature extraction algorit...
Stamatios Lefkimmiatis, Petros Maragos, Athanassio...
ICASSP
2009
IEEE
14 years 2 months ago
The effectiveness of histogram equalization on environmental model adaptation
In this paper, we introduce a new histogram equalizationbased environmental model adaptation method for robust speech recognition in noise environments. The proposed method adapts...
Youngjoo Suh, Hoirin Kim
ICMCS
2005
IEEE
139views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Rapid Feature Space Speaker Adaptation for Multi-Stream HMM-Based Audio-Visual Speech Recognition
Multi-stream hidden Markov models (HMMs) have recently been very successful in audio-visual speech recognition, where the audio and visual streams are fused at the final decision...
Jing Huang, Etienne Marcheret, Karthik Visweswaria...