منابع مشابه
Speaker Identification for Whispered Speech Using a Training Feature Transformation from Neutral to Whisper
A number of research studies in speaker recognition have recently focused on robustness due to microphone and channel mismatch(e.g., NIST SRE). However, changes in vocal effort, especially whispered speech, present significant challenges in maintaining system performance. Due to the mismatch spectral structure resulting from the different production mechanisms, performance of speaker identifica...
متن کاملWhisper
Notes, jottings and writings smuggled out of a British prison have been fused into this book, or as it is better described by Timothy Leary; this 'whispered manuscript'. One of the authors, Brian Barritt, was sentenced to 'four years' meditation' for attempting to bring four pounds of hashish through H.M. Customs in 1966, and on his release from prison, with the help of David Ball, he put the s...
متن کاملAcoustic analysis and feature transformation from neutral to whisper for speaker identification within whispered speech audio streams
Whispered speech is an alternative speech production mode from neutral speech, which is used by talkers intentionally in natural conversational scenarios to protect privacy and to avoid certain content from being overheard or made public. Due to the profound differences between whispered and neutral speech in vocal excitation and vocal tract function, the performance of automatic speaker identi...
متن کاملMandarin Tone Contrast in Whisper
The dominant cue to distinguish lexical tones is the fundamental frequency. In whisper, no such information is available due to the lack of excitation of the vocal folds. This paper examines the acoustics of Mandarin tonal contrasts in whispered speech and compares it with that of normal speech, aiming to identify potential cues for tone identification in situations where the major pitch correl...
متن کاملSpeaker Identification in Overlapping Speech
Although the problem of automatic speaker identification has received considerable attention, no work has been made to deal with overlapping speech that involves multiple persons speaking simultaneously. This study proposes two approaches to automatically identify both simultaneous and non-simultaneous speakers in an audio stream. The first approach consists of an overlapping-speech detection c...
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ژورنال
عنوان ژورنال: Letras de Hoje
سال: 2017
ISSN: 1984-7726,0101-3335
DOI: 10.15448/1984-7726.2017.1.26659