… reasons: in some studies the process of extracting the basic prosodic parameters is not
completely automatic, and automation is a necessary prerequisite for integration into an ASR …

… to obtain a recognition network, along which recognition can be … framework is used to model
speech prosody, and to perform … the input speech in parallel to standard speech recognition. …

… features which more accurately predict when a recognition hypothesis contains a … automatic
speech recognition. We present analytic results indicating that there are significant prosodic …

… In this work, different prosodic knowledge sources are integrated into a state-of-the-art large
… speech recognition system. Prosody manifests itself on different levels in the speech signal: …

… experiments made to automatically identify emotion in an emotional speech database for …
with prosodic features and SVM and the last one with prosodic features and GMM. 86 prosodic …

… recognition process itself. This study presents an analysis of prosody’s three most important
parameters… for incorporating this information into automatic speech recognition. On the basis …

… We have identified prosodic features which predict more accurately when a recognition …
confidence scores traditionally used in automatic speech recognition in spoken dialogue systems…

… makes full use of the prosodic information, mainly because … prosodic modules with the
scores from other modules [Vives & al, 1977]. In order tp improve the dependability of the prosodic …

… speech are generated for comparison with corresponding aspects of the input speech for the
purpose of automatic speech recognition, … logical prosodic parameters of speech are vowel …

… for automatic speech recognition methods combined with … on automatic intelligibility
assessment of chronically hoarse persons by means of automatic speech recognition, prosodic and …