mispeech
mispeech/ced-base
Hugging Face repository for Audio classification.
Accepts
- Audio input
Produces
- Label output
AI model comparison
Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.
mispeech/ced-base from mispeech lists limited public specifications. mispeech/dashengtokenizer from mispeech lists limited public specifications. Compare the inputs, outputs and deployment options below to see which fits your workflow.
mispeech
Hugging Face repository for Audio classification.
Accepts
Produces
mispeech
mispeech/dashengtokenizer is a source-linked Hugging Face repository assigned to Audio-to-audio. Its recorded task interface accepts audio and produces audio.
Accepts
Produces
Specifications
| Specification | mispeech/ced-base | mispeech/dashengtokenizer |
|---|---|---|
| Provider | mispeech | mispeech |
| Listed pricing route | mispeech | mispeech |
| Model family | — | — |
| Accepted inputs | audio | audio |
| Produced outputs | label | audio |
| Reasoning mode | Not documented | Not documented |
| Tool calling | Not documented | Not documented |
| Image input | Not documented | Not documented |
| Audio input | Documented | Documented |
| Structured output | Not documented | Not documented |
| License | Not documented | Not documented |
Workload guidance
The recorded figures alone do not establish a clear choice. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.
Explore each model’s features, API requirements and licence terms in the sources below.
mispeech/ced-base
mispeech
Profile updated Oct 7, 2026
mispeech/dashengtokenizer
mispeech
Profile updated Oct 7, 2026
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