---
license: apache-2.0
language:
  - en 
  - zh
  - de
  - es
  - ru
  - ko
  - fr
  - ja
  - pt
  - tr
  - pl
  - ca
  - nl
  - ar
  - sv
  - it
  - id
  - hi
  - fi
  - vi
  - he
  - uk
  - el
  - ms
  - cs
  - ro
  - da
  - hu
  - ta
  - 'no'
  - th
  - ur
  - hr
  - bg
  - lt
  - la
  - mi
  - ml
  - cy
  - sk
  - te
  - fa
  - lv
  - bn
  - sr
  - az
  - sl
  - kn
  - et
  - mk
  - br
  - eu
  - is
  - hy
  - ne
  - mn
  - bs
  - kk
  - sq
  - sw
  - gl
  - mr
  - pa
  - si
  - km
  - sn
  - yo
  - so
  - af
  - oc
  - ka
  - be
  - tg
  - sd
  - gu
  - am
  - yi
  - lo
  - uz
  - fo
  - ht
  - ps
  - tk
  - nn
  - mt
  - sa
  - lb
  - my
  - bo
  - tl
  - mg
  - as
  - tt
  - haw
  - ln
  - ha
  - ba
  - jw
  - su
tags:
  - audio
  - automatic-speech-recognition
base_model: openai/whisper-small
pipeline_tag: automatic-speech-recognition
---
# Whisper-small OpenVINO IR
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.

Whisper was proposed in the paper [Robust Speech Recognition via Large-Scale Weak Supervision](https://arxiv.org/abs/2212.04356) 
by Alec Radford et al from OpenAI. The original code repository can be found [here](https://github.com/openai/whisper).

**Disclaimer**: Content for this model card has partly been copied and pasted from [this model card](https://huggingface.co/openai/whisper-small).

# Model details
Whisper is a Transformer based encoder-decoder model, also referred to as a sequence-to-sequence model.

![Pipeline 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)

| Model Type                | Parameters | n_audio_ctx | n_audio_state | n_audio_head | n_audio_layer | n_text_ctx | n_text_state | n_text_head | n_text_layer | n_mels | n_vocab |
|---------------------------|------------|-------------|---------------|--------------|---------------|------------|--------------|-------------|--------------|--------|---------|
| whisper-tiny              |    39 M    | 1500        | 384           | 6            | 4             | 224        | 384          | 6           |  4           | 80     | 51865   |
| whisper-base              |    74 M    | 1500        | 512           | 8            | 6             | 224        | 512          | 8           |  6           | 80     | 51865   |
| **whisper-small**         |   244 M    | 1500        | 768           | 12           | 12            | 224        | 768          | 12          | 12           | 80     | 51865   |
| whisper-medium            |   769 M    | 1500        | 1024          | 16           | 24            | 224        | 1024         | 16          | 16           | 80     | 51865   |
| whisper-large-v1          |  1550 M    | 1500        | 1280          | 20           | 32            | 224        | 1280         | 20          | 20           | 80     | 51865   |
| whisper-large-v2          |  1550 M    | 1500        | 1280          | 20           | 32            | 224        | 1280         | 20          | 20           | 80     | 51865   |
| distil-whisper-large-v2   |   756 M    | 1500        | 1280          | 20           | 32            | 224        | 1280         | 20          |  2           | 80     | 51865   |
| whisper-large-v3          |  1550 M    | 1500        | 1280          | 20           | 32            | 224        | 1280         | 20          | 20           | 128    | 51866   |
| distil-whisper-large-v3   |   756 M    | 1500        | 1280          | 20           | 32            | 224        | 1280         | 20          |  2           | 128    | 51866   |
| whisper-large-v3-turbo    |   809 M    | 1500        | 1280          | 20           | 32            | 224        | 1280         | 20          |  4           | 128    | 51866   |