# Low Loss Value

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

A fine-tuned speech synthesis model based on microsoft/speecht5_tts, trained on an unknown dataset with a validation loss of 0.3771.

A Thai token classification model fine-tuned based on phayathaibert, demonstrating outstanding performance on the THAI-NER dataset

An audio keyword recognition model fine-tuned based on openai/whisper-small, trained on the kw-spotting-fsc-sl-agv dataset with an evaluation accuracy of 99.98%

An audio classification model fine-tuned based on facebook/wav2vec2-base for distinguishing between music and speech

A speech processing model fine-tuned based on facebook/wav2vec2-base, demonstrating excellent performance on the evaluation set

A speech keyword recognition model fine-tuned on the SUPERB dataset based on facebook/wav2vec2-base, achieving an accuracy of 98.26%

This is an extractive question-answering model trained with AutoNLP, capable of extracting answers from given text.