LocalClaw/TTS/seda-v0.1
Local ASR model

seda-v0.1

Catalogue summary: Apache-licensed streaming Turkish ASR model exported for sherpa-onnx. The 66.1M-parameter Zipformer2 transducer ships int8 ONNX encoder/joiner files, optional language-model files and a practical one-thread CPU path for low-latency offline transcription.

Repository editorial metadata; verify comparative claims in the linked upstream material.

Edge readyspeech-to-text transcription1 languagesApache 2.0 acoustic model; optional LM files CC BY-SA 4.0
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Start with the recommended app, or choose another supported option.

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Open model filesRecommended verified starting pointOpen in UnslothLaunches Unsloth Desktop on this modelOpen Python packageVerified package page without exposing a commandOpen on Hugging FaceFiles, licence and model cardCheck my machineOptional: verify the fit with your saved hardware

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Catalogue quality
8.6/10
Catalogue speed
9.7/10
Model size
66.1M params; about 78MB ONNX core plus optional LM files
Voices
N/A (streaming ASR: outputs lowercase spoken-form Turkish text)

Can seda-v0.1 run locally?

seda-v0.1 can run locally for offline speech-to-text. Use the verified setup options on this page; no terminal command is required to choose the right path.

Apache 2.0 acoustic model; optional LM files CC BY-SA 4.0 license. Still verify upstream usage notes before shipping.

Upstream source
streamingrealtimelow-latency

Audio profile

Cat. quality
8.6
Cat. speed
9.7
Audio
9.0

Best fit

seda-v0.1 is best for offline transcription, speech indexing and local voice pipelines.

Hardware: cpuedge

Model details

Type
Local ASR model
Family
seda
Latency
ultra-low
Formats
onnxsherpa-onnx
Languages
tr
Context
66.1M params, Turkish-only, 16 kHz audio, 0.64s streaming chunk with 128-frame left context, about 169-175MB peak RAM on one CPU thread and roughly 30x real-time throughput with beam 4 + optional LM

Install locally

01
Check runtimeConfirm the backend supports onnx, sherpa-onnx on your machine.
02
Open recommended setupUse the app and model links above. LocalClaw does not expose a terminal command.
03
Test locallyRun a short private audio prompt before moving into production workflows.

Good for

  • speech-to-text transcription
  • Edge ready local workflows
  • streaming, realtime, low-latency

Watch before shipping

  • Validate pronunciation, latency and artifacts with your own voice samples.
  • Review the upstream license and acceptable-use notes.
  • Benchmark on your target CPU, Apple Silicon or GPU setup.

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