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openai / whisper-large-v3-turbo-turkish

whisper-large-v3-turbo-turkish

byopenai

Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains without the need for fine-tuning.

Speech to TextWhisperAudioGrid Landscape
Model ID
whisper-large-v3-turbo-turkish
Provider
openai
Updated
1781074930
whisper-large-v3-turbo-turkish
0
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Average rating : 5 (1 users)
Provideropenai
Modelwhisper-large-v3-turbo-turkish
Speech to TextWhisperAudioGrid Landscape
wiro playground—openai/whisper-large-v3-turbo-turkish
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0 / 1
Maximum 1 audio allowed

Supported audio formats: .wav, .m4a, .mp3, .ogg, .opus and webm.

Language of the audio.

Number of speakers to detect.

Separate speech by different speakers.

Sample outputs
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openai-whisper-large-v3-turbo-turkish-sample-2.txt
Updated 1781074930

Whisper — A pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680,000 hours of labeled data, it generalizes well across diverse datasets and domains without requiring fine-tuning.

API quick start

Run whisper-large-v3-turbo-turkish with a single API call.

POST https://api.wiro.ai/v1/Run/openai/whisper-large-v3-turbo-turkish
{
  "language": "auto",
  "chunkLength": 30,
  "batchSize": 8,
  "numSpeakers": 1
}
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