Oct 5, 2022 · In this work, we conduct a study on emotional corpora to explore a popular self-supervised model -- wav2vec 2.0.
In this work, we conduct a study on emotional corpora to explore a popular self-supervised model. – wav2vec 2.0. Via a set of quantitative analysis, we mainly.
This work conducts a study on emotional corpora to explore a popular self-supervised model - wav2vec 2.0 and provides novel findings that will aid future ...
Jan 27, 2023 · In this work, we conduct a study on emotional corpora to explore a popular self-supervised model -- wav2vec 2.0.
In this paper we present our findings on how representation learning on large unlabeled speech corpora can be beneficially utilized for speech emotion ...
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Exploration of a self-supervised speech model: A study on emotional corpora. Y Li, Y Mohamied, P Bell, C Lai. 2022 IEEE Spoken Language Technology Workshop ...
Apr 12, 2024 · Exploration of a self-supervised speech model: A study on emotional corpora . In. IEEE Spoken Language Technology Workshop (SLT) . Google ...
This paper seeks to improve the performance of automatic speech recognition (ASR) systems operating on code-switched speech.
Aug 11, 2024 · Exploration of a self-supervised speech model: A study on emotional corpora. ... Speech emotion recognition using self-supervised features.
This paper explores the fine-tuning strategies of the WavLM Large model for the speech emotion recognition task on the MSP Podcast Corpus.
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