We assessed 19 patients with Huntington's disease (HD) at early to moderately advanced stages of their disease using memory tests that investigated verbal and visual recall and recognition. In those tests where identical material was subject to recall and recognition the standardized results (z scores) were lower for recognition. Performance was better with pictorial than with verbal material. ...

Objectives Neurocognitive functions contribute to speech recognition in postlingual adults with cochlear implants (CIs). In particular, better verbal working memory (WM) on modality-specific (auditory) WM tasks predicts better speech recognition. It remains unclear, however, whether this association can be attributed to basic underlying modality-general neurocognitive functions, or whether it i...

Human beatboxing is a vocal art making use of speech organs to produce drum sounds and imitate musical instruments. Beatbox sound classification current challenge that can be used for automatic database annotation music-information retrieval. In this study, large-vocabulary human-beatbox recognition system was developed with an adaptation Kaldi toolbox, widely-used tool recognition. The corpus ...

Verbal overshadowing refers to a phenomenon whereby verbalization of a non-verbal stimulus (e.g., he had slant eyes) impairs subsequent non-verbal recognition accuracy. In order to understand the mechanism by which this phenomenon occurs, we constructed a computational model that was trained to generate an individual-face-specific representation upon input of a noise-filtered retinotopic face (...

Describing memory for a nonverbal perceptual stimulus can impair recognition. This verbal overshadowing effect may occur when perceptual expertise exceeds verbal expertise, but previous evidence for this hypothesis has been strictly correlational. We conducted two experiments, exploring the relation between expertise and verbal overshadowing by manipulating perceptual and conceptual knowledge. ...

Humans represent sounds to others and receive information about sounds from others using onomatopoeia. Such representation is useful for obtaining and reporting the acoustic features and impressions of actual sounds without having to hear or emit them. But how accurately can we obtain such sound information from onomatopoeic representations? To examine the validity and applicability of using ve...

In this paper, we describe a method for recognizing sound sources in a mixture. While many audio-based content analysis methods focus on detecting or classifying target sounds in a discriminative manner, we approach this as a regression problem, in which we estimate the relative proportions of sound sources in the given mixture. Using certain source separation ideas, we directly estimate these ...