Abstract: Compares the performance of an operational automatic speech recognition system when Mel frequency-scaled cepstral coefficients (MFCCs), ...
This paper compares the performance of an operational Automatic Speech Recognition system when MFCCs, JRASTA Perceptual Linear Prediction Coefficients (J-Rasta ...
Integration of fixed and multiple resolution analysis in a speech ...
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The paper compares the performance of an operational automatic speech recognition system when Mel frequency-scaled cepstral coefficients, J-Rasta perceptual ...
This letter investigates the impact of stress on monophone speech recognition accuracy and proposes a new set of acoustic parameters based on high ...
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variations in the analysis, -the center of the frame and -the duration of the frame. In speech processing, multi-resolution analysis has many applications.
Oct 10, 2018 · Our experiments start with several Kaldi baseline system for the well known TIMIT corpus and modify them by adding multi-resolution speech ...
Oct 10, 2018 · Currently most ASR systems use Deep Neural Networks (DNN) instead of the GMMs for modeling the acoustic features, which provides more ...
In this paper, we present a systematic review of research that addressed SER tasks from ML perspectives over the last decade, with emphasis on the three SER ...
The present study used this measure to relate neural health in human cochlear implant users to their speech recognition performance. The multipulse-integration ...
This research paper investigates the effectiveness of the Whis- per decoder for Language Identification (LI) and Language Di- arization (LD) tasks.