Audio_cls_unispeech-sat-base-100h-libri-ft_minds14_finetune Open-source Speech Classification Model

Audio Cls Unispeech Sat Base 100h Libri Ft Minds14 Finetune

Developed by jonastokoliu

A speech classification model fine-tuned on the minds14 dataset based on microsoft/unispeech-sat-base-100h-libri-ft

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Release Time : 5/28/2023

Model Overview

This model is optimized for speech classification tasks, fine-tuned on the minds14 dataset, primarily used for speech-related classification tasks.

Based on UniSpeech-SAT architecture

Utilizes the advanced UniSpeech-SAT architecture, suitable for speech processing tasks

Fine-tuned on minds14 dataset

Specially fine-tuned on the minds14 speech dataset

Lightweight training

Moderate batch size (64) during training, suitable for medium-scale computational resources

Speech Classification

Speech feature extraction

Speech Processing

Speech intent recognition

Identify intent categories in speech

Achieved 7.08% accuracy on the minds14 dataset

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	2	2.6385	0.0442
No log	2.0	4	2.6385	0.0796
No log	3.0	6	2.6386	0.0619
No log	4.0	8	2.6375	0.0531
2.64	5.0	10	2.6372	0.0619
2.64	6.0	12	2.6376	0.0708
2.64	7.0	14	2.6379	0.0708
2.64	8.0	16	2.6381	0.0708
2.64	9.0	18	2.6384	0.0708
2.638	10.0	20	2.6384	0.0708

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