A new Indian English stutter corpus and an augmented cepstral feature set are reported to classify typical vs atypical disfluencies with 85% F1, though the evaluation is hampered by missing split details and cherry-picked results.
Spontaneous speech: how people really talk and why engineers should care
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Typical vs. Atypical Disfluency Classification: Introducing the IIITH-TISA Corpus and Temporal Context-Based Feature Representations
A new Indian English stutter corpus and an augmented cepstral feature set are reported to classify typical vs atypical disfluencies with 85% F1, though the evaluation is hampered by missing split details and cherry-picked results.