Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models

Research article (ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020) · cited 78× · AI/ML
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Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models

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Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/speech-sentiment-analysis-via-pre-trained-features-from-end-to-end-asr-models
MLA “Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/speech-sentiment-analysis-via-pre-trained-features-from-end-to-end-asr-models.
BibTeX @misc{4ortxyz_speech-sentiment-analysis-via-pre-trained-features-from-end-to-end-asr-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models}}, year = {2026}, url = {https://4ort.xyz/entity/speech-sentiment-analysis-via-pre-trained-features-from-end-to-end-asr-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models — https://4ort.xyz/entity/speech-sentiment-analysis-via-pre-trained-features-from-end-to-end-asr-models (retrieved 2026-05-24)

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