The EMG-UKA corpus for electromyographic speech processing
نویسندگان
چکیده
This article gives an overview of the EMG-UKA corpus, a corpus of electromyographic (EMG) recordings of articulatory activity enabling speech processing (in particular speech recognition and synthesis) based on EMG signals, with the purpose of building Silent Speech interfaces. Data is available in multiple speaking modes, namely audibly spoken, whispered, and silently articulated speech. Besides the EMG data, synchronous acoustic data was additionally recorded to serve as a reference. The corpus comprises 63 recorded sessions from 8 speakers, the total amount of data is 7:32 hours. A trial subset, consisting of 1:52 hours of data, is freely available for download.
منابع مشابه
Deep Neural Network Frontend for Continuous EMG-Based Speech Recognition
We report on a Deep Neural Network frontend for a continuous speech recognizer based on Surface Electromyography (EMG). Speech data is obtained by facial electrodes capturing the electric activity generated by the articulatory muscles, thus allowing speech processing without making use of the acoustic signal. The electromyographic signal is preprocessed and fed into the neural network, which is...
متن کاملModeling coarticulation in EMG-based continuous speech recognition
This paper discusses the use of surface electromyography for automatic speech recognition. Electromyographic signals captured at the facial muscles record the activity of the human articulatory apparatus and thus allow to trace back a speech signal even if it is spoken silently. Since speech is captured before it gets airborne, the resulting signal is not masked by ambient noise. The resulting ...
متن کاملDifferent lip asymmetry in adults who stutter: electromyographic evidence during speech and non-speech.
The present study examined whether abnormal cerebral control was evident in the lip movements of adult stutterers (AS) compared to non-stutterers (ANS), as demonstrated during speech and non-speech tasks. Electromyographic (EMG) activity during production of words with initial /f/ and /p/ phonemes, single-sentence production and lip pursing were measured. Differences between AS and ANS were evi...
متن کاملDifferent Lip Asymmetry in Adults Who Stutter: Electromyographic Evidence during Speech and Non-Speech
The present study examined whether abnormal cerebral control was evident in the lip movements of adult stutterers (AS) compared to non-stutterers (ANS), as demonstrated during speech and non-speech tasks. Electromyographic (EMG) activity during production of words with initial /f/ and /p/ phonemes, single-sentence production and lip pursing were measured. Differences between AS and ANS were evi...
متن کاملWavelet-based front-end for electromyographic speech recognition
In this paper we present our investigations on the potential of wavelet-based preprocessing for surface electromyographic speech recognition. We implemented several variants of the Discrete Wavelet Transform and applied them to electromyographical data. First we examined different transforms with various filters and decomposition levels and found that the Redundant Discrete Wavelet Transform pe...
متن کامل