openai/whisper-timestamped-medium
Whisper is a set of multi-lingual, robust speech recognition models trained by OpenAI that achieve state-of-the-art results in many languages. Whisper models were trained to predict approximate timestamps on speech segments (most of the time with 1-second accuracy), but they cannot originally predict word timestamps. This version has implementation to predict word timestamps and provide a more accurate estimation of speech segments when transcribing with Whisper models.
Whisper is a set of multi-lingual, robust speech recognition models trained by OpenAI that achieve state-of-the-art results in many languages. Whisper models were trained to predict approximate timestamps on speech segments (most of the time with 1-second accuracy), but they cannot originally predict word timestamps. This version has implementation to predict word timestamps and provide a more accurate estimation of speech segments when transcribing with Whisper models.
HTTP/cURL API
You can use cURL or any other http client to run inferences:
curl -X POST \
-H "Authorization: bearer $DEEPINFRA_TOKEN" \
-F audio=@my_voice.mp3 \
'https://api.deepinfra.com/v1/inference/openai/whisper-timestamped-medium'
which will give you back something similar to:
{
"text": "",
"segments": [
{
"end": 1.0,
"id": 0,
"start": 0.0,
"text": "Hello"
},
{
"end": 5.0,
"id": 1,
"start": 4.0,
"text": "World"
}
],
"language": "en",
"input_length_ms": 0,
"words": [
{
"end": 1.0,
"start": 0.0,
"text": "Hello"
},
{
"end": 5.0,
"start": 4.0,
"text": "World"
}
],
"duration": 0.0,
"request_id": null,
"inference_status": {
"status": "unknown",
"runtime_ms": 0,
"cost": 0.0,
"tokens_generated": 0,
"tokens_input": 0
}
}
Input fields
languagestring
language that the audio is in; uses detected language if None; use two letter language code (ISO 639-1) (e.g. en, de, ja)
Allowed values: afamarasazbabebgbnbobrbscacscydadeeleneseteufafifofrglguhahawhehihrhthuhyidisitjajwkakkkmknkolalblnloltlvmgmimkmlmnmrmsmtmynenlnnnoocpaplpsptrorusasdsiskslsnsosqsrsusvswtatetgthtktltrttukuruzviyiyoyuezh
chunk_levelstring
chunk level, either 'segment' or 'word'
Default value: "segment"
Allowed values: segmentword
chunk_length_sinteger
chunk length in seconds to split audio
Default value: 30
Range: 1 ≤ chunk_length_s ≤ 30
webhookfile
The webhook to call when inference is done, by default you will get the output in the response of your inference request
Input Schema
Output Schema
Unlock the most affordable AI hosting
Run models at scale with our fully managed GPU infrastructure, delivering enterprise-grade uptime at the industry's best rates.
