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» Phoneme recognition in TIMIT with BLSTM-CTC
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CORR
2008
Springer
63views Education» more  CORR 2008»
13 years 4 months ago
Phoneme recognition in TIMIT with BLSTM-CTC
Santiago Fernández, Alex Graves, Jürge...
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
ICASSP
2011
IEEE
12 years 8 months ago
PAC-Bayesian approach for minimization of phoneme error rate
We describe a new approach for phoneme recognition which aims at minimizing the phoneme error rate. Building on structured prediction techniques, we formulate the phoneme recogniz...
Joseph Keshet, David A. McAllester, Tamir Hazan
TSD
2004
Springer
13 years 10 months ago
Towards Lower Error Rates in Phoneme Recognition
We investigate techniques for acoustic modeling in automatic recognition of context-independent phoneme strings from the TIMIT database. The baseline phoneme recognizer is based on...
Petr Schwarz, Pavel Matejka, Jan Cernocký
LREC
2010
155views Education» more  LREC 2010»
13 years 6 months ago
WTIMIT: The TIMIT Speech Corpus Transmitted Over The 3G AMR Wideband Mobile Network
Due to upcoming mobile telephony services with higher speech quality, a wideband (50 Hz to 7 kHz) mobile telephony derivative of TIMIT has been recorded called WTIMIT. It allows a...
Patrick Bauer, David Scheler, Tim Fingscheidt