whisper-large-v3-turbo

Automatic Speech Recognition • OpenAI

@cf/openai/whisper-large-v3-turbo

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Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation.

Parameters

▶audio

one ofrequired

task

stringdefault: transcribeSupported tasks are 'translate' or 'transcribe'.

language

stringThe language of the audio being transcribed or translated.

vad_filter

booleandefault: falsePreprocess the audio with a voice activity detection model.

initial_prompt

stringA text prompt to help provide context to the model on the contents of the audio.

prefix

stringThe prefix appended to the beginning of the output of the transcription and can guide the transcription result.

beam_size

integerdefault: 5The number of beams to use in beam search decoding. Higher values may improve accuracy at the cost of speed.

condition_on_previous_text

booleandefault: trueWhether to condition on previous text during transcription. Setting to false may help prevent hallucination loops.

no_speech_threshold

numberdefault: 0.6Threshold for detecting no-speech segments. Segments with no-speech probability above this value are skipped.

compression_ratio_threshold

numberdefault: 2.4Threshold for filtering out segments with high compression ratio, which often indicate repetitive or hallucinated text.

log_prob_threshold

numberdefault: -1Threshold for filtering out segments with low average log probability, indicating low confidence.

hallucination_silence_threshold

numberOptional threshold (in seconds) to skip silent periods that may cause hallucinations.

▶transcription_info{}

object

text

stringThe complete transcription of the audio.

word_count

numberThe total number of words in the transcription.

▶segments[]

array

vtt

stringThe transcription in WebVTT format, which includes timing and text information for use in subtitles.

API Schemas (Raw)

Input Open Download

Output Open Download

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description: 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 generalize to many datasets and domains without the need for fine-tuning. This is the English-only version of the Whisper Tiny model which was trained on the task of speech recognition. title: whisper-tiny-en image: https://developers.cloudflare.com/og-docs.png

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