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» Phoneme recognition using Boosted Binary Features
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ICASSP
2011
IEEE
12 years 8 months ago
Phoneme recognition using Boosted Binary Features
In this paper, we propose a novel parts-based binary-valued feature for ASR. This feature is extracted using boosted ensembles of simple threshold-based classifiers. Each such cl...
Anindya Roy, Mathew Magimai-Doss, Sébastien...
ICASSP
2011
IEEE
12 years 8 months ago
Integrating articulatory features using Kullback-Leibler divergence based acoustic model for phoneme recognition
In this paper, we propose a novel framework to integrate articulatory features (AFs) into HMM- based ASR system. This is achieved by using posterior probabilities of different AFs...
Ramya Rasipuram, Magimai.-Doss Mathew
IEAAIE
2011
Springer
12 years 8 months ago
Multiple Source Phoneme Recognition Aided by Articulatory Features
This paper presents an experiment in speech recognition whereby multiple phoneme recognisers are applied to the same utterance. When these recognisers agree on an hypothesis for th...
Mark Kane, Julie Carson-Berndsen
MUE
2008
IEEE
89views Multimedia» more  MUE 2008»
13 years 11 months ago
Speaker Independent Phoneme Recognition Based on Fisher Weight Map
We have already proposed a new feature extraction method based on higher-order local auto-correlation and Fisher weight map (FWM) at Interspeech2006. This paper shows effectivenes...
Takashi Muroi, Tetsuya Takiguchi, Yasuo Ariki
EJASMP
2011
12 years 8 months ago
Phoneme and Sentence-Level Ensembles for Speech Recognition
We address the question of whether and how boosting and bagging can be used for speech recognition. In order to do this, we compare two different boosting schemes, one at the pho...
Christos Dimitrakakis, Samy Bengio