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Which Words Are Hard to Recognize? Prosodic, Lexical, and Disfluency Factors that Increase ASR Error Rates
Many factors are thought to increase the chances of misrecognizing a word in ASR, including low frequency, nearby disfluencies, short duration, and being at the start of a turn. However, …...
Repurposing Corpora for Speech Repair Detection: Two Experiments
Unrehearsed spoken language often contains many disfluencies. If we want to correctly interpret the content of spoken language, we need to be able to detect these disfluencies and deal with …...
Disfluencies in Consecutive Interpreting among Undergraduates in the Language Lab Environment in the final version
: Consecutive interpreting (CI) has gained increasing popularity and application in today’s world. Fluency is a criterion for CI output assessment. Although disfluencies among CI professionals were investigated in previous …...
DUEL: A Multi-lingual Multimodal Dialogue Corpus for Disfluency, Exclamations and Laughter
AbstractWe present the DUEL corpus, consisting of 24 hours of natural, face-to-face, loosely task-directed dialogue in German, French and Mandarin Chinese. The corpus is uniquely positioned as a cross-linguistic, multimodal …...
Chats and Chunks: Annotation and Analysis of Multiparty Long Casual Conversations
Casual talk or social conversation is a fundamental form of spoken interaction. Corpora of casual talk often comprise relatively short dyadic conversations, although research into such talk has found longer …...
DNN-based Speech Synthesis Using Abundant Tags of Spontaneous Speech Corpus
AbstractIn this paper, we investigate the effectiveness of using rich annotations in deep neural network (DNN)-based statistical speech synthesis. DNN-based frameworks typically use linguistic information as input features called context …...