# Vietnamese speech recognition

An automatic speech recognition model fine-tuned on Vietnamese speech data based on openai/whisper-small, improving Vietnamese transcription accuracy and robustness

A speech recognition model fine-tuned on 100 hours of Vietnamese speech data based on openai/whisper-base model, improving Vietnamese transcription accuracy

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.

Whisper-V3-Turbo model optimized for Vietnamese automatic speech recognition (ASR) tasks, fine-tuned using multiple Vietnamese datasets

Whisper-medium model optimized for Vietnamese speech recognition tasks, fine-tuned on 1308 hours of Vietnamese data

Vietnamese automatic speech recognition (ASR) model fine-tuned based on OpenAI Whisper-tiny architecture, demonstrating excellent performance on multiple Vietnamese datasets

PhoWhisper is a series of models designed specifically for Vietnamese automatic speech recognition (ASR). It achieves high robustness by fine-tuning the Whisper model on an 844-hour Vietnamese accent dataset.

PhoWhisper is a system specifically designed for Vietnamese automatic speech recognition, fine-tuned based on the Whisper model, supporting various Vietnamese accents.

This is an automatic speech recognition model supporting Vietnamese, capable of outputting normalized text, timestamp labeling, and multi-speaker segmentation.

This model is an automatic speech recognition (ASR) model based on OpenAI's Whisper Small architecture, fine-tuned on the Common Voice 11.0 Vietnamese dataset

Vietnamese automatic speech recognition model based on wav2vec2 architecture, pre-trained with 13,000 hours of unlabeled YouTube audio and fine-tuned on 250 hours of labeled data

Vietnamese speech recognition model based on Wav2vec2, fine-tuned on 160 hours of Vietnamese speech data

This model is a Wav2Vec2 base model pre-trained on 3,000 hours of Vietnamese speech data, suitable for Vietnamese speech recognition tasks, and requires fine-tuning on downstream tasks for use.

This model is pretrained on 1.5k hours of Vietnamese speech data, suitable for Vietnamese speech recognition tasks, requires fine-tuning before use.

Vietnamese automatic speech recognition model based on Wav2vec2 architecture, supporting audio-to-text conversion

This model is a Vietnamese speech recognition model fine-tuned on the Common Voice dataset based on facebook/wav2vec2-xls-r-300m

Vietnamese speech recognition model based on Wav2Vec2 architecture, fine-tuned on VSLP dataset, supports 16kHz sampled speech input

This model is an automatic speech recognition model fine-tuned on Vietnamese YouTube informal audio datasets, based on facebook/wav2vec2-large-xlsr-53.

A Vietnamese automatic speech recognition model fine-tuned on the PHONGDTD/VINDATAVLSP - NA dataset based on microsoft/wavlm-base-plus

An automatic speech recognition model fine-tuned on Vietnamese datasets based on microsoft/wavlm-base

A speech recognition model fine-tuned with approximately 270 hours of Vietnamese annotated data, supporting Vietnamese automatic speech recognition tasks

This model is a speech recognition model fine-tuned on the Common Voice 7.0 Vietnamese dataset and private datasets based on facebook/wav2vec2-xls-r-300m.

This model is a Vietnamese automatic speech recognition model fine-tuned on the PHONGDTD/VINDATAVLSP - NA dataset based on facebook/wav2vec2-large-xlsr-53

Vietnamese automatic speech recognition model fine-tuned on 40 hours of FPT Open Speech Dataset (FOSD) and Common Voice 7.0 dataset based on facebook/wav2vec2-xls-r-1b

A Vietnamese automatic speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53, trained using the Common Voice dataset.

This is a Vietnamese automatic speech recognition (ASR) repair model based on the MT5 architecture, fine-tuned for Vietnamese speech recognition tasks.

A Vietnamese automatic speech recognition model fine-tuned based on facebook/wav2vec2-large-xlsr-53, supporting 16kHz sampling rate audio input.

Vietnamese automatic speech recognition model based on wav2vec 2.0 architecture, trained on 13,000 hours of unlabeled audio and 250 hours of labeled data

This is a Vietnamese fine-tuned speech recognition model based on facebook/wav2vec2-large-xlsr-53, trained using the Common Voice and Infore_25h datasets.

Vietnamese automatic speech recognition model fine-tuned from facebook/wav2vec2-large-xlsr-53