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Snac 24khz ONNX
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Snac 24khz ONNX

Developed by onnx-community
SNAC 24kHz is a model for feature extraction, suitable for audio signal processing tasks.
Audio ClassificationOpen Source License:MIT#24kHz Audio Features#Efficient Feature Extraction#Signal Processing Optimization
Downloads 46
Release Time : 3/21/2025

Model Overview

This model is primarily used for feature extraction in audio signals, potentially for speech recognition, audio classification, or other audio processing tasks.

Model Features

24kHz Sampling Rate Support
The model supports a 24kHz audio sampling rate, suitable for high-quality audio processing tasks.
Feature Extraction
Focuses on feature extraction from audio signals, potentially including spectral features, MFCC, and other common audio features.

Model Capabilities

Audio Feature Extraction
Audio Signal Processing

Use Cases

Speech Processing
Speech Recognition Preprocessing
Used for front-end feature extraction in speech recognition systems
The extracted features can improve the accuracy of speech recognition systems
Audio Analysis
Audio Classification
Extracts audio features for classification tasks
Can be used for music genre classification or environmental sound recognition
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