10 citations · 10 across the 2 of their papers we have counts for
2 papers
eess.AS2022
Improving the Naturalness of Simulated Conversations for End-to-End Neural Diarization
Natsuo Yamashita, Shota Horiguchi, Takeshi Homma
This paper investigates a method for simulating natural conversation in the model training of end-to-end neural diarization (EEND). Due to the lack of any annotated real conversati…
eess.AS2019★ 10 cited
Addressing Ambiguity of Emotion Labels Through Meta-Learning
Takuya Fujioka, Dario Bertero, Takeshi Homma +1
Emotion labels in emotion recognition corpora are highly noisy and ambiguous, due to the annotators' subjective perception of emotions. Such ambiguity may introduce errors in autom…