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1
Speech Pseudonymisation Assessment Using Voice Similarity Matrices ...
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2
Acoustic modeling for under-resourced languages based on vectorial HMM-states representation using Subspace Gaussian Mixture Models
In: IEEE Spoken Language Technology Workshop (SLT) ; https://hal.archives-ouvertes.fr/hal-01313103 ; IEEE Spoken Language Technology Workshop (SLT), Dec 2012, Miami, United States. ⟨10.1109/SLT.2012.6424245⟩ (2012)
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3
Applying SVMs and weight-based factor analysis to unsupervised adaptation for speaker verification
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 25 (2011) 2, 327-340
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4
Modeling nuisance variabilities with factor analysis for GMM-based audio pattern classification
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 25 (2011) 3, 481-498
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5
Subspace Gaussian Mixture Models for vectorial HMM-states representation
In: IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) ; https://hal.archives-ouvertes.fr/hal-01318611 ; IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), Dec 2011, Waikoloa, United States. ⟨10.1109/ASRU.2011.6163984⟩ (2011)
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6
State-of-the-art performance in text-independent speaker verification through open-source software
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 15 (2007) 7, 1960-1968
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7
The LIA Speech Recognition System: From 10xRT to 1xRT
In: 10th International Conference, TSD ; https://hal.archives-ouvertes.fr/hal-01318280 ; 10th International Conference, TSD , Sep 2007, Pilsen, Czech Republic (2007)
Abstract: International audience ; The LIA developed a speech recognition toolkit providing most of the components required by speech-to-text systems. This toolbox allowed to build a Broadcast News (BN) transcription system was involved in the ESTER evaluation campaign ([1]), on unconstrained transcription and real-time transcription tasks. In this paper, we describe the techniques we used to reach the real-time, starting from our baseline 10xRT system. We focus on some aspects of the A* search algorithm which are critical for both efficiency and accuracy. Then, we evaluate the impact of the different system components (lexicon, language models and acoustic models) to the trade-off between efficiency and accuracy. Experiments are carried out in framework of the ESTER evaluation campaign. Our results show that the real time system reaches performance on about 5.6% absolute WER whorses than the standard 10xRT system, with an absolute WER (Word Error Rate) of about 26.8%.
Keyword: [INFO]Computer Science [cs]
URL: https://hal.archives-ouvertes.fr/hal-01318280
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8
The LIA Speech Recognition System: From 10xRT to 1xRT
In: 10th International Conference, TSD ; https://hal.archives-ouvertes.fr/hal-01318314 ; 10th International Conference, TSD, Sep 2007, Pilsen, Czech Republic (2007)
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