Much previous work has investigated weak supervision with HMMs and tag dictionaries for part-of-speech tagging, but there have been no similar investigations for the harder proble...
In the `missing data' approach to improving the robustness of automatic speech recognition to added noise, an initial process identifies spectraltemporal regions which are do...
A new class of Support Vector Machine (SVM) that is applicable to sequential-pattern recognition such as speech recognition is developed by incorporating an idea of non-linear tim...
In addressing the problem of achieving high-accuracy real-time speech recognition systems, we focus on recognizing speech from ARPA's20,000-word Wall Street Journal (WSJ) tas...
Hy Murveit, Peter Monaco, Vassilios Digalakis, Joh...
This article introduces automatic speech recognition based on Electro-Magnetic Articulography (EMA). Movements of the tongue, lips, and jaw are tracked by an EMA device, which are...