Model overview
You can experience **speech emotion recognition** by selecting Gender/Speech recognition tab via our interactive Hugging Face Space: Upload an audio clip or record your voice to visualize categorical emotions and dimensional affect trajectories in real time. **MERaLiON-SER-v1** is a multilingual **speech emotion recognition (SER)** model jointly predicting 1. **Categorical emotions** – 7 discrete classes *(Neutral, Happy, Sad, Angry, Surprised, Fearful, Disgusted)*, and 2. **Dimensional affect values** – continuous *(Valence, Arousal, Dominance)*. Valence (0 negative, 1 positive), Arousal (0 calm, 1 active), Dominance (0 weak, 1 strong)
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：other。模型介绍与第三方评测均以原来源的具体版本和方法为准。