This work presents an analysis of distant-talking speech recognition in a variety of reverberant conditions, correlating ASR performance to the acoustic characteristics of a given propagation channel. In particular we show how, for a digit recognition task, the ASR accuracy is directly related to the Early-to-Late Reverberation ratio of the room impulse response, capturing in a single parameter the reverberation properties of a given channel independently of the setup. Consequently, this measure can be successfully considered for acoustic model training either selecting the most suitable model for a given spatial configuration, or defining the subset of RIRs to be used for the creation of multi-condition models. Experimental results on simulated data as well as on data generated with real impulse responses support our claims.
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Titolo: | On the use of Early-to-Late Reverberation Ratio for ASR in reverberant environments |
Autori: | |
Data di pubblicazione: | 2014 |
Abstract: | This work presents an analysis of distant-talking speech recognition in a variety of reverberant conditions, correlating ASR performance to the acoustic characteristics of a given propagation channel. In particular we show how, for a digit recognition task, the ASR accuracy is directly related to the Early-to-Late Reverberation ratio of the room impulse response, capturing in a single parameter the reverberation properties of a given channel independently of the setup. Consequently, this measure can be successfully considered for acoustic model training either selecting the most suitable model for a given spatial configuration, or defining the subset of RIRs to be used for the creation of multi-condition models. Experimental results on simulated data as well as on data generated with real impulse responses support our claims. |
Handle: | http://hdl.handle.net/11582/228819 |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |