# Linear Learning Rate

This model is a fine-tuned speech synthesis (TTS) model based on microsoft/speecht5_tts, primarily used for text-to-speech conversion tasks.

Fine-tuned model based on Donut architecture, specific purpose and functionality require more information

A speech recognition model fine-tuned based on facebook/wav2vec2-base, with unspecified training dataset details

This model is a fine-tuned speech recognition model based on wav2vec2-base-checkpoint-8 on the common_voice dataset, achieving a word error rate of 0.3258 on the evaluation set.

This model is a fine-tuned audio classification model based on distilhubert trained on a common language dataset, primarily used for language recognition tasks.