# Voice command recognition

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

A speech recognition model fine-tuned on the speech_commands dataset based on facebook/wav2vec2-base, achieving 97.35% accuracy

A fine-tuned voice command classification model based on facebook/wav2vec2-base, trained on the superb dataset with an accuracy of 98.09%

This model is a voice command recognition model fine-tuned on the speech_commands dataset based on facebook/wav2vec2-base, achieving an accuracy of 97.59%.

A speech recognition model fine-tuned on the speech_commands dataset based on facebook/wav2vec2-base, achieving 97.8% accuracy

An audio spectrogram transformer model fine-tuned on the Speech Commands v2 dataset for audio classification tasks, achieving 98.12% accuracy.

A speech classification model fine-tuned on the SUPERB keyword spotting task, based on the Wav2Vec2-Large-LV60 pre-trained model