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Speech Accent Classification
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Speech Accent Classification

Developed by dima806
A foundational speech recognition model based on the Wav2Vec2 architecture, trained on 960 hours of English speech data, suitable for speech classification tasks.
Audio Classification
Transformers
 EnglishOpen Source License:Apache-2.0#Speech accent classification#English audio processing#High accuracy
Downloads 40
Release Time : 5/26/2023

Model Overview

This model is a Transformer-based speech processing model specifically designed for English speech classification tasks, such as accent classification.

Model Features

Efficient speech feature extraction
Capable of automatically learning effective speech feature representations without manual feature engineering.
Transfer learning capability
Can be used as a pre-trained model and fine-tuned for downstream speech tasks.
Optimized for English speech
Specifically trained and optimized for English speech data.

Model Capabilities

Speech feature extraction
Speech classification
Accent recognition

Use Cases

Speech analysis
Accent classification
Identify and classify different English accents
Achieves high accuracy on specific datasets
Speech recognition preprocessing
Serves as a front-end feature extractor for speech recognition systems
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