Timestamp alignment between ASR transcripts and speaker diarization is claimed to improve speech emotion recognition, but the experiment conflates alignment with fine-tuning of the feature extractors.
Integrating emotion recognition with speech recognition and speaker diarisation for conversations,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CL 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization
Timestamp alignment between ASR transcripts and speaker diarization is claimed to improve speech emotion recognition, but the experiment conflates alignment with fine-tuning of the feature extractors.