mlsanityData to 14 Oct 2026

CALLS: Japanese Empathetic Dialogue Speech Corpus of Complaint Handling and Attentive Listening in Customer Center

arXiv 2305.13713 ↗First posted 23 May 2023cs.SD cs.CL cs.LGcited by 3

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Abstract (arXiv)

We present CALLS, a Japanese speech corpus that considers phone calls in a customer center as a new domain of empathetic spoken dialogue. The existing STUDIES corpus covers only empathetic dialogue between a teacher and student in a school. To extend the application range of empathetic dialogue speech synthesis (EDSS), we designed our corpus to include the same female speaker as the STUDIES teacher, acting as an operator in simulated phone calls. We describe a corpus construction methodology and analyze the recorded speech. We also conduct EDSS experiments using the CALLS and STUDIES corpora to investigate the effect of domain differences. The results show that mixing the two corpora during training causes biased improvements in the quality of synthetic speech due to the different degrees of expressiveness. Our project page of the corpus is http://sython.org/Corpus/STUDIES-2.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 9 of its 23 references that are in the map. First posted on arXiv 23 May 2023.

Builds on

9 of 23 references.

References · 9

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2014Adam: A Method for Stochastic Optimizationcited by 37,240
  3. 2015Domain-Adversarial Training of Neural Networkscited by 3,044
  4. 2020HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesiscited by 1,154
  5. 2020FastSpeech 2: Fast and High-Quality End-to-End Text to Speechcited by 717
  6. 2020Conversational End-to-End TTS for Voice Agentcited by 37
  7. 2022STUDIES: Corpus of Japanese Empathetic Dialogue Speech Towards Friendly Voice Agentcited by 9
  8. 2022Cross-Speaker Emotion Transfer for Low-Resource Text-to-Speech Using Non-Parallel Voice Conversion with Pitch-Shift Data Augmentationcited by 8
  9. 2022Acoustic Modeling for End-to-End Empathetic Dialogue Speech Synthesis Using Linguistic and Prosodic Contexts of Dialogue Historycited by 3

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Citing papers per year: 2024: 1; 2025: 0; 2026: 2.

3 papers.