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"You stupid tin box" - children interacting with the AIBO robot: a cross-linguistic emotional speech corpus
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Late fusion of individual engines for improved recognition of negative emotion in speech - learning vs. democratic vote ...
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Whodunnit - Searching for the Most Important Feature Types Signalling Emotion-Related User States in Speech
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In: ISSN: 0885-2308 ; EISSN: 1095-8363 ; Computer Speech and Language ; https://hal.archives-ouvertes.fr/hal-00661911 ; Computer Speech and Language, Elsevier, 2010, 25 (1), pp.4. ⟨10.1016/j.csl.2009.12.003⟩ (2010)
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Emotion Recognition using Imperfect Speech Recognition ...
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Abstract:
This paper investigates the use of speech-to-text methods for assigning an emotion class to a given speech utterance. Previous work shows that an emotion extracted from text can convey complementary evidence to the information extracted by classifiers based on spectral, or other non-linguistic features. As speech-to-text usually presents significantly more computational effort, in this study we investigate the degree of speech-to-text accuracy needed for reliable detection of emotions from an automatically generated transcription of an utterance. We evaluate the use of hypotheses in both training and testing, and compare several classification approaches on the same task. Our results show that emotion recognition performance stays roughly constant as long as word accuracy doesn't fall below a reasonable value, making the use of speech-to-text viable for training of emotion classifiers based on linguistics. ...
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Keyword:
89999 Information and Computing Sciences not elsewhere classified; FOS Computer and information sciences
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URL: https://dx.doi.org/10.1184/r1/6473348 https://kilthub.cmu.edu/articles/Emotion_Recognition_using_Imperfect_Speech_Recognition/6473348
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Late fusion of individual engines for improved recognition of negative emotion in speech - learning vs. democratic vote ...
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