awsaf49/audio_classification_models
Tensorflow Audio Classification Models
Leverages speech recognition architectures like Conformer and ContextNet adapted for audio classification tasks, enabling applications like fake speech detection. Built on TensorFlow 2.5+ with pre-trained model support for quick deployment. Provides a unified API for loading and fine-tuning state-of-the-art audio classifiers without building models from scratch.
No commits in the last 6 months. Available on PyPI.
Stars
13
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 21, 2023
Monthly downloads
332
Commits (30d)
0
Dependencies
2
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/awsaf49/audio_classification_models"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
julius-speech/julius
Open-Source Large Vocabulary Continuous Speech Recognition Engine
tabahi/formantfeatures
Extract frequency, power, width and dissonance of formants from wav files
rolczynski/Automatic-Speech-Recognition
🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)
libdriver/ld3320
LD3320 full-featured driver library for general-purpose MCU and Linux.
shenasa-ai/speech2text
A Deep-Learning-Based Persian Speech Recognition System