Pitch-shift audio clips quickly with PyTorch (CUDA supported)! Additional utilities for searching efficient transformations are included.
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Sep 25, 2024 - Python
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audio-augmentation
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Time-stretch audio clips quickly with PyTorch (CUDA supported)! Additional utilities for searching efficient transformations are included.
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Sep 5, 2022 - Python
⚡ Blazing fast audio augmentation in Python, powered by GPU for high-efficiency processing in machine learning and audio analysis tasks.
audio python machine-learning gpu dsp pytorch triton data-augmentation audio-effects audio-augmentation augmentations audio-data-augmentation
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Jan 19, 2024 - Python
A ready-to-use pytorch dataloader for audio classification, speech classification, speaker recognition, etc. with in-GPU augmentations
speech torch audio-augmentation torch-dataloader pytorch-speech-dataloader gpu-augmentation speech-augmentation-gpu
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Nov 6, 2022 - Python
Train custom wake word models with openWakeWord. A granular 13-step pipeline with compatibility patches for torchaudio 2.10+, Piper TTS, and speechbrain. Generates tiny ONNX models (~200 KB) for real-time keyword detection — like building your own "Hey Siri" trigger. WSL2/Linux + CUDA required.
python text-to-speech deep-learning speech-recognition speech-to-text keyword-spotting voice-assistant wake-word-detection onnx on-device training-pipeline edge-ai audio-augmentation wsl2 speechbrain openwakeword piper-tts wake-word-training custom-wake-word
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Feb 13, 2026 - Python
Audio data loading and augmentations in JAX
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Apr 19, 2026 - Python
Python augmentation toolkit for Automatic Music Transcription datasets
audio music amt augmentation automatic-music-transcription audio-augmentation music-augmentation music-transc
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Apr 24, 2026 - Python
End-to-end pipeline for training a custom keyword detection model with TensorFlow & TFLite expor
deep-learning tensorflow keras speech-recognition mfcc keyword-spotting cnn-model voice-detection audio-processing tflite audio-processing-with-python edge-ai audio-augmentation esc50
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Feb 24, 2026 - Python
A Convolutional Neural Network that distinguishes between the speakers emotions. Comes with multiple preprocessors to improve the models performance.
natural-language-processing supervised-learning convolutional-neural-networks transfer-learning preprocessing human-computer-interaction audio-processing multi-class-classification audio-augmentation variable-length-data speech-emotion-classification
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Jan 20, 2022 - Python
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