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Blind estimation of room acoustic parameters from speech signals based on extended model of room impulse response

Lijun WangSuradej DuangpummetMasashi Unoki
Dec 2022
摘要
The speech transmission index (STI) and room acoustic parameters (RAPs),which are derived from a room impulse response (RIR), such as reverberationtime and early decay time, are essential to assess speech transmission and topredict the listening difficulty in a sound field. Since it is difficult tomeasure RIR in daily occupied spaces, simultaneous blind estimation of STI andRAPs must be resolved as it is an imperative and challenging issue. This paperproposes a deterministic method for blindly estimating STI and five RAPs on thebasis of an RIR stochastic model that approximates an unknown RIR. The proposedmethod formulates a temporal power envelope of a reverberant speech signal toobtain the optimal parameters for the RIR model. Simulations were conducted toevaluate STI and RAPs from observed reverberant speech signals. Theroot-mean-square errors between the estimated and ground-truth results wereused to comparatively evaluate the proposed method with the previous method.The results showed that the proposed method can estimate STI and RAPseffectively without any training.
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