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In our previous work, we reported a surface electromyographic (EMG) continuous speech recognition system with a novel EMG feature extraction method, E4, which is more robust to EMG noise than traditional spectral features. In this paper, we show that articulatory feature (AF) classifiers can also benefit from the E4 feature, which improve the F-score of the(More)
We present our research on continuous speech recognition of the surface electromyographic signals that are generated by the human articulatory muscles. Previous research on electromyographic speech recognition was limited to isolated word recognition because it was very difficult to train phoneme-based acoustic models for the electromyographic speech(More)
In this paper we present first experiments towards a tighter coupling between Automatic Speech Recognition (ASR) and Statistical Machine Translation (SMT) to improve the overall performance of our speech translation system. In coventional speech translation systems, the recognizer outputs a single hypothesis which is then translated by the SMT system. This(More)
In this paper, we present an approach for articulatory feature classification based on surface electromyographic signals generated by the facial muscles. With parallel recorded audible speech and electromyographic signals, experiments are conducted to show the anticipatory behavior of electromyographic signals with respect to speech signals. On average, we(More)
This paper describes our research on adaptation methods applied to articulatory feature detection on soft whispery speech recorded with a throat microphone. Since the amount of adaptation data is small and the testing data is very different from the training data, a series of adaptation methods is necessary. The adaptation methods include: maximum(More)
This paper describes various adaptation methods applied to recognizing soft whisper recorded with a throat microphone. Since the amount of adaptation data is small and the testing data is very different from the training data, a series of adaptation methods is necessary. The adaptation methods include: maximum likelihood linear regression, feature-space(More)
This paper describes the ISL large vocabulary conversational telephony speech recognition system, which was tested in NIST's RT-03S ("Switchboard") evaluation. We present our experiments on improving preprocessing, acoustic modelling, and language modelling. The system features phone-dependent semi-tied full covariances, semi-tied clustering of(More)
We present our recent results on speech recognition by surface electromyography (EMG), which captures the electric potentials that are generated by the human articulatory muscles. This technique can be used to enable Silent Speech Interfaces, since EMG signals are generated even when people only articulate speech without producing any sound. Preliminary(More)
i Ich erkläre hiermit, dass ich die vorliegende Arbeit selbstständig verfasst und keine an-deren als die angegebenen Quellen und Hilfsmittel verwendet habe. Abstract Communication in quiet settings or for locked-in patients is not easy without disturbing others or even impossible. A device enabling to communicate without the production of sound or(More)