VoIP Classification Open-Source Speech Classification Model - Free for Classifying Audio Folder Datasets

Voip Classification

Developed by james-xie-rng

A fine-tuned speech classification model based on facebook/wav2vec2-base for audio folder dataset classification tasks

Downloads 18

Release Time : 6/7/2023

Model Overview

This model is a fine-tuned version for audio classification tasks, primarily used for speech signal classification processing

Based on wav2vec2 architecture

Uses facebook's wav2vec2-base model as the base architecture, providing excellent speech feature extraction capabilities

Fine-tuned training

Fine-tuned on specific audio datasets to adapt to particular classification tasks

Speech Classification

Audio Feature Extraction

Speech Processing

VoIP Speech Classification

Classifies and recognizes speech signals in VoIP calls

Accuracy 0.0099 (based on evaluation set)

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.6603	0.99	41	nan	0.0099
0.0	1.99	82	nan	0.0099
0.0	2.98	123	nan	0.0099
0.0	4.0	165	nan	0.0099
0.0	4.99	206	nan	0.0099
0.0	5.99	247	nan	0.0099
0.0	6.98	288	nan	0.0099
0.0	8.0	330	nan	0.0099
0.0	8.99	371	nan	0.0099
0.0	9.94	410	nan	0.0099

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base