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Arbitrary communication systems can emerge from iconic beginnings through processes of conventionalisation via interaction. Here, we explore whether this process of conventionalisation occurs with con...
Most words that infants hear occur within fluent speech. To compile a vocabulary, infants therefore need to segment words from speech contexts.This study is the first to investigate whether infants (h...
Recognising continuous speech in a second language is often unexpectedly difficult, as the operation of segmenting speech is so attuned to native-language structure. We report the initial steps in dev...
Two-Stage Continuous Speech Recognition Using Feature-Based Models: A Preliminary Study.
Minimum classification error training of landmark models for real-time continuous speech recognition.
PocketSUMMIT: Small-Footprint Continuous Speech Recognition.
A Self-Transcribing Speech Corpus: Collecting Continuous Speech with an Online Educational Game.
In this paper the design of semi-continuous segmental probability models (SCSPMs) in large vocabulary continuous speech recogn ition is presented. The tied Gaussian densities are trained using data fr...
This study uses connectionist modeling to explore whether and how infants might learn prosodic focus directly from continuous spee ch input. Focus is a communicati ve function that serves to put empha...
This paper shows the results of an investigation of consonant voicing in an utterance according to labeled read speech and spontaneous speech. Five speakers’ materials were researched. Some interestin...
This paper shows the results of an investigation of consonant voicing in an utterance according to labeled read speech and spontaneous speech. Five speakers’ materials were researched. Some interestin...
In this paper, we make a detailed analysis on the errors that may occur in a continuous speech recognition system, and define two sets of judge rules to perform the error analysis. Using these judge r...
the co-articulation is one of the main reasons that makes the speech recogn ition difficult. However, the traditional Hidden Markov Models(HMM) can not model the co-articulation, because they depend ...

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