In this paper we present a novel approach to acoustic model training for non-audible murmur (NAM) recognition using normal speech data transformed into NAM ...
Oct 22, 2024 · In this paper we present a novel approach to acoustic model training for non-audible murmur (NAM) recognition using normal speech data ...
This paper proposes modified SAT methods capable of using a larger amount of normal speech data by transforming them into NAM data, and demonstrates that ...
ABSTRACT. In this paper we present a novel approach to acoustic model training for non-audible murmur (NAM) recognition using normal speech data transformed ...
This paper presents a novel approach to the acoustic model training for Non-. Audible Murmur (NAM) recognition using normal speech data transformed.
Aug 5, 2016 · ABSTRACT: In this paper, we have presented an effective method for recognizing partial speech with the help of Non Audible Murmur (NAM) ...
This manuscript introduces a new approach of processing of non-audible murmur (NAM) datasets, on behalf of full rank Gaussian mixture model (FR-GMM), ...
Jul 26, 2024 · We propose a novel approach to significantly improve the intelligibility in the Non-Audible Murmur (NAM)-to-speech.
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Jun 23, 2011 · Acoustic model training for non-audible murmur recognition using transformed normal speech data ... using transformed normal speech data.
In this paper we present a novel approach to acoustic model training for non-audible murmur (NAM) recognition using normal speech data transformed into NAM data ...