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Multiple Accent Classification
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Multiple Accent Classification

Developed by dima806
A speech accent multiclass classification model based on facebook/wav2vec2-base-960h, used to identify different speech accents.
Audio Classification
Transformers
Open Source License:Apache-2.0#Speech accent classification#Multi-class recognition#High accuracy
Downloads 81
Release Time : 8/18/2023

Model Overview

This model is based on the wav2vec2 architecture, specifically designed for multiclass tasks in speech accent recognition, capable of identifying accents from different regions.

Model Features

High accuracy
The model demonstrates high accuracy in speech accent classification tasks.
Multiclass capability
Capable of recognizing multiple different accent types.
Based on wav2vec2
Utilizes the powerful speech feature extraction capabilities of wav2vec2.

Model Capabilities

Speech recognition
Accent classification
Multiclass tasks

Use Cases

Speech processing
Accent recognition system
Used to identify accent types in speech, applicable for voice assistants or customer service systems.
High-accuracy accent classification
Speech data analysis
Analyze accent distribution in speech data for linguistic research or market analysis.
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