# Long audio processing

Lightweight audio model, excelling in speech recognition, audio understanding, and executing audio instructions among other diverse tasks

A Hindi speech recognition model fine-tuned based on OpenAI's Whisper-Large-V3, trained on approximately 718 hours of transcribed Hindi speech data

Whisper large-v3-turbo is an automatic speech recognition and speech translation model proposed by OpenAI, trained with large-scale weak supervision and supporting multiple languages.

A large-scale Vietnamese automatic speech recognition model based on the ChunkFormer architecture, fine-tuned on approximately 3000 hours of publicly available Vietnamese speech data, with excellent performance.

A Turkish speech recognition model fine-tuned on the Common Voice 17.0 dataset based on openai/whisper-large-v3-turbo

Whisper large-v3-turbo is a distilled version of OpenAI Whisper large-v3, with the decoder layers reduced from 32 to 4, significantly improving speed while slightly reducing quality.

This is a Russian speech recognition model based on the OpenAI Whisper architecture, optimized for Russian speech-to-text tasks and converted to ctranslate2 format for improved inference efficiency.

An English speech recognition and translation model optimized for mobile deployment, implemented by Qualcomm.

An automatic speech recognition model developed by the National Library of Norway, based on the OpenAI Whisper architecture, supporting transcription in Norwegian and English.

An automatic Norwegian speech recognition model launched by the National Library of Norway, developed based on OpenAI's Whisper architecture, supporting multiple Norwegian dialects and English.

An automatic speech recognition model developed by the National Library of Norway, based on the Whisper architecture, supporting speech transcription and translation of Norwegian and English.

Whisper is an advanced automatic speech recognition (ASR) and speech translation model proposed by OpenAI, trained on over 5 million hours of labeled data, with strong cross-dataset and cross-domain generalization capabilities.

Tamil speech recognition model fine-tuned based on OpenAI Whisper-large-v2, trained on multiple public Tamil ASR corpora

An automatic speech recognition model fine-tuned on the Common Voice 8 Bulgarian dataset based on facebook/wav2vec2-xls-r-300m