Acoustic evidence for the effect of accent on CV coarticulation in Radio News speech
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The effect of accent on the acoustic cues to stop voicing in Radio News speech
Data from three acoustic cues to stop voicing is analyzed for the effect of phrasal accent in a corpus of read radio news speech from a single speaker of American English. The results show that VOT, Closure Duration and F0 are significant cues to voicing for stops in this corpus, though the acoustic patterns vary by place of articulation. There is a significant effect of phrasal accent on each ...
متن کاملProsodic effects on acoustic cues to stop voicing and place of articulation: Evidence from Radio News speech
This study examines the effects of prosody on the acoustic cues of stop consonants, based on speech from the Boston University Radio News corpus. An investigation of VOT, f0, closure duration, burst amplitude and spectral characteristics provide evidence for a primary effect of accent (a level of phrasal prominence) on these measures as cues to stop voicing and/or place of articulation. There a...
متن کاملThe Effect of Accent on Acoustic Cues to Stop Voicing and Place of Articulation in Radio News Speech
In previous research evidence for the effects of stress and accent on phonetic variation is based on laboratory speech. In the present paper, we report on a study of the effects of accent on the acoustic cues for stop voicing and place of articulation in the speech of four announcers from the Boston University Radio News corpus. The results show that there are significant effects of accent on V...
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Phoneme recognition is one of the fundamental phases of automatic speech recognition. Coarticulation which refers to the integration of sounds, is one of the important obstacles in phoneme recognition. In other words, each phone is influenced and changed by the characteristics of its neighbor phones, and coarticulation is responsible for most of these changes. The idea of modeling the effects o...
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Accent variability is an important factor in speech that can significantly degrade automatic speech recognition performance. We investigate the effect of multiple accents on an English broadcast news recognition system. A multi-accented English corpus is used for the task, including broadcast news segments from 6 different geographic regions: US, Great Britain, Australia, North Africa, Middle E...
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