# Wav2Vec2 fine-tuning

This model is fine-tuned based on the Wav2Vec2 architecture, specifically designed to recognize six emotional states (sadness, anger, disgust, fear, happiness, neutral) in English speech, with an accuracy of 92.42%.

An audio classification model fine-tuned on the minds14 dataset based on the facebook/wav2vec2-base model

A baby cry classification model fine-tuned based on wav2vec2-large-xlsr-53-english, achieving 81.5% accuracy

A Wav2Vec2-fine-tuned English speech emotion recognition model capable of identifying six emotional states

This is a Wav2Vec2-based Arabic syllable recognition model capable of identifying syllables in Modern Standard Arabic from speech.

A phoneme recognition model based on the Wav2Vec2 architecture, fine-tuned on the LJSpeech Phonemes dataset, used to convert speech into phoneme sequences

English speech emotion recognition model fine-tuned based on Wav2Vec 2.0, capable of recognizing 7 different emotions

This model is a fine-tuned version of malay-huggingface/wav2vec2-xls-r-300m-mixed on the uob_singlish dataset, mainly used for speech recognition tasks.

This is a French speech recognition model fine-tuned based on facebook/wav2vec2-base-960h, achieving a word error rate of 1.0 on the evaluation set.

A Brazilian Portuguese speech recognition model fine-tuned on the Common Voice dataset based on Facebook's wav2vec2-large-xlsr-53-portuguese model

This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base for Persian language, supporting Persian speech-to-text tasks.

An automatic speech recognition model fine-tuned on Marathi speech datasets based on Facebook's XLS-R-300M model

English-Filipino speech recognition model fine-tuned from jonatasgrosman/wav2vec2-large-xlsr-53-english, achieving a WER of 0.5750 on the evaluation set

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-english on the filipino_voice dataset, designed for English and Filipino speech recognition tasks.

This is a speech recognition model fine-tuned based on Harveenchadha/vakyansh-wav2vec2-hindi-him-4200, supporting Hindi speech-to-text tasks.

Automatic speech recognition model fine-tuned on Mozilla Common Voice Portuguese dataset based on facebook/wav2vec2-xls-r-300m

This is a Wav2vec 2.0 model fine-tuned for Portuguese, trained on multiple Portuguese speech datasets including CORAA, CETUC, MLS, etc.

A multilingual speech recognition model based on the wav2vec 2.0 architecture, specifically fine-tuned for Persian, significantly reducing word error rate

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

This is an automatic speech recognition model fine-tuned on the Turkish Common Voice dataset based on the facebook/wav2vec2-large-xlsr-53 model, achieving a test WER of 21.13%.

This is an automatic speech recognition model fine-tuned from the facebook/wav2vec2-large-xlsr-53 model, specifically designed for recognizing the Sursilvan dialect of Romansh.

Hebrew speech recognition model fine-tuned from facebook/wav2vec2-xls-r-300m with n-gram language model enhancement

A speech recognition model fine-tuned on the Breton Common Voice dataset based on facebook/wav2vec2-large-xlsr-53

A Telugu speech recognition model fine-tuned based on the facebook/wav2vec2-large-xlsr-53 model, trained using the OpenSLR SLR66 dataset

This is an automatic speech recognition (ASR) model fine-tuned on the Spanish Common Voice 7 dataset, based on the facebook/wav2vec2-large-xlsr-53 model.

A speech recognition model fine-tuned on Greek language based on facebook/wav2vec2-large-xlsr-53, supporting 16kHz sampled audio input.

German speech recognition model fine-tuned based on flozi00/wav2vec-xlsr-german

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.

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

A speech recognition model fine-tuned on the Greek Common Voice dataset based on facebook/wav2vec2-large-xlsr-53, balancing the training set with synthesized female voice data

This model is an automatic speech recognition (ASR) model fine-tuned on the Turkish COMMON_VOICE dataset based on cahya/wav2vec2-base-turkish-artificial-cv

This is a Wav2vec 2.0 model fine-tuned for Brazilian Portuguese, trained on multiple Brazilian Portuguese datasets, achieving a WER of 13.6 on the Common Voice test set.

An automatic speech recognition model fine-tuned for Punjabi using the Common Voice dataset, based on facebook/wav2vec2-large-xlsr-53

Automatic speech recognition model fine-tuned on Swedish dataset based on facebook/wav2vec2-xls-r-300m

This is a Wav2Vec2 model fine-tuned for Brazilian Portuguese speech recognition tasks, trained on the VoxForge dataset.

An automatic speech recognition model fine-tuned on the NBAILAB/NPSC - 16K_MP3 dataset based on KBLab/wav2vec2-large-voxrex

Hausa automatic speech recognition model based on wav2vec2-xls-r-300m architecture, fine-tuned on Common Voice 8.0 Hausa dataset