CSEMOTIONS: High-Quality Mandarin Emotional Speech Dataset
CSEMOTIONS is a high-quality Mandarin emotional speech dataset designed for expressive speech synthesis, emotion recognition, and voice cloning research. The dataset contains studio-quality recordings from six professional voice actors across seven carefully curated emotional categories, supporting research in controllable and natural language speech generation.
Dataset Summary
- Name: CSEMOTIONS
- Total Duration: ~10 hours
- Speakers: 10 (5 male, 5 female) native Mandarin speakers, all professional voice actors
- Emotions: Neutral, Happy, Angry, Sad, Surprise, Disgust, Fear
- Language: Mandarin Chinese
- Sampling Rate: 48kHz, 24-bit PCM
- Recording Setting: Professional studio environment
- Evaluation Prompts: 100 per emotion, in both English and Chinese
Dataset Structure
Each data sample includes:
- audio: The speech waveform (48kHz, 24-bit, WAV)
- transcript: The transcribed sentence in Mandarin
- emotion: One of {neutral, happy, angry, sad, surprise, disgust, fear}
- speaker_id: An anonymized speaker identifier (e.g.,
S01) - gender: Male/Female
- prompt_id: Unique identifier for each utterance
Intended Uses
CSEMOTIONS is intended for:
- Expressive text-to-speech (TTS) and voice cloning systems
- Speech emotion recognition (SER) research
- Cross-lingual and cross-emotional synthesis experiments
- Benchmarking emotion transfer or disentanglement models
Dataset Details
| Property | Value |
|---|---|
| Total audio hours | ~10 |
| Number of speakers | 6 (3♂, 3♀, anonymized IDs) |
| Emotions | Neutral, Happy, Angry, Sad, Surprise, Disgust, Fear |
| Language | Mandarin Chinese |
| Format | WAV, mono, 48kHz/24bit |
| Studio quality | Yes |
| Label | Duration | Sentences |
|---|---|---|
| Sad | 1.73h | 546 |
| Angry | 1.43h | 769 |
| Happy | 1.51h | 603 |
| Surprise | 1.25h | 508 |
| Fearful | 1.92h | 623 |
| Playfulness | 1.23h | 621 |
| Neutral | 1.14h | 490 |
| Total | 10.24h | 4160 |
Download and Usage
To use CSEMOTIONS with 🤗 Datasets:
from datasets import load_dataset
dataset = load_dataset("AIDC-AI/CSEMOTIONS")
Acknowledgements
We would like to thank our professional voice actors and the recording studio staff for their contributions.
License
The project is licensed under the Apache License 2.0 (http://www.apache.org/licenses/LICENSE-2.0, SPDX-License-identifier: Apache-2.0).