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Showing 1 to 4 of 4 for “"accent classification"”.
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Acoustic Approaches to Gender and Accent Identification
… of speech. A less researched problem is that of accent recognition. Although this is a similar problem to language identification, di�erent accents of a language exhibit more fine-grained di�erences between classes than languages. This presents a tougher problem for traditional classification …
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Adaptation of hybrid deep neural network-hidden Markov model speech recognition system using a sub-space approach
… data (a few words). The first method classifies accent of a speaker to identify variability in speaking style. Results indicated that using multiple words from a speaker can be efficient and can provide better accent classification accuracy. Next adaptive phoneme classification method is proposed …
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Accent Conversion via Formant-based Spectral Mapping and Pitch Contour Modification
Accent conversion intends to change the accent of a speaker to a desired accent and preserve the speaker’s voice identity. This technology can offer a number of useful applications. For example, integrating accent conversion to a text-to-speech system (TTS) can produce a voice with a desired accent …
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Mispronunciation Detection for Language Learning and Speech Recognition Adaptation
<p>The areas of "mispronunciation detection" (or "accent detection" more specifically) within the speech recognition community are receiving increased attention now. Two application areas, namely language learning and speech recognition adaptation, are largely driving this research interest and are …