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We show a number of improvements in the use of Hidden Conditional Random Fields (HCRFs) for phone classification on the TIMIT and Switchboard corpora. We first show that the use of regularization effe...
In three cross-modal priming experiments we asked whether adaptation to a foreign-accented speaker is automatic, and whether adaptation can be seen after a long delay between initial exposure and test...
Two cross-modal priming experiments examined two questions about word recognition in foreign-accented speech:Does accent adaptation occur only for genuine accents markers, and does adaptation depend o...
Speech perception is shaped by listeners' prior experience with speakers. Listeners retune their phonetic category boundaries after encountering ambiguous sounds in order to deal with variations betwe...
This study investigates if and how listeners adapt to reductions in casual continuous speech. In a perceptuallearning variant of the visual-world paradigm, two groups of Dutch participants were expose...
Listeners show a remarkable ability to quickly adjust to degraded speech input. Here, we aimed to identify the neural mechanisms of such short-term perceptual adaptation. In a sparse-sampling, cardiac...
We investigated comprehension of and adaptation to speech in an unfamiliar accent in older adults. Participants performed a speeded sentence verification task for accented sentences: one group upon au...
Noise-vocoded speech is a spectrally highly degraded signal, but it preserves the temporal envelope of speech. Listeners vary considerably in their ability to adapt to this degraded speech signal. Her...
Style & Topic Language Model Adaptation Using HMM-LDA.
Discriminative MCE-Based Speaker Adaptation of Acoustic Models for a Spoken Lecture Processing Task.
Handling Uncertain Observations in Unsupervised Topic-Mixture Language Model Adaptation.
Evaluation of Multi-level Context-Dependent Acoustic Model for Large Vocabulary Speaker Adaptation Tasks.
This report proposes a novel approach for Gaussian Mixture Model (GMM) weights decomposition and adaptation. This modeling suggests a new low-dimensional utterance representation method, which uses ...
People were trained to decode noise-vocoded speech by hearing monosyllabic stimuli in distorted and unaltered forms. When later presented with different stimuli, listeners were able to successfully ge...
Past research has established that listeners can accommodate a wide range of talkers in understanding language. How this adjustment operates, however, is a matter of debate. Here, listeners were expos...

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