Lallapallooza / fast-audiomentations
⚡ Blazing fast audio augmentation in Python, powered by GPU for high-efficiency processing in machine learning and audio analysis tasks.
☆33Updated last year
Alternatives and similar repositories for fast-audiomentations:
Users that are interested in fast-audiomentations are comparing it to the libraries listed below
- Generate audio datasets for training Text-To-Speech models, through smart audio splitting with silence detection, and transcription using…☆28Updated last year
- ☆56Updated 2 years ago
- Export an ONNX graph that performs ISTFT. Designed for TTS models.☆24Updated last year
- My hybrid TTS network that combines, VALL-E, VoiceBox, SpeechFlow, Seamless and TortoiseTTS into one☆27Updated 8 months ago
- StyleTTS 2 Optimized Training Fork☆27Updated 2 months ago
- A fast python library for aligning similar audio snippets passed in as NumPy arrays☆47Updated last month
- An evaluation set for large-scale trained TTS models (Coming in Sep 2024)☆12Updated 7 months ago
- A robust pitch tracker using synchro-squeezed fft and frequency domain autocorrelation☆33Updated last year
- GPT for FACodec☆13Updated last year
- ☆26Updated last year
- Code of the paper "Low-Latency Speech Separation Guided Diarization for Telephone Conversations"☆13Updated 2 years ago
- ☆26Updated 2 months ago
- ☆22Updated this week
- Python package of MP-SENet from Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement.☆13Updated 5 months ago
- Official repository of Wavehax vocoder☆46Updated 4 months ago
- C++ version of pyannote audio overlapped speech detection pipeline☆13Updated last year
- Unofficial implementation of wavenext vocoder☆44Updated 7 months ago
- A collection of all our phonemeizers for dataset construction and inference☆22Updated 2 months ago
- Viterbi decoding in PyTorch☆30Updated 3 weeks ago
- Vocoder-Free Non-Parallel Conversion of Whispered Speech With Masked Cycle-Consistent Generative Adversarial Networks☆17Updated last year
- (R&D) Text to speech using phonemes as inputs and audio codec codes as outputs. Loosely based on MegaByte, VALL-E and Encodec.☆48Updated last year
- Unofficial implementation of ConvNeXt-TTS powered by lightning☆17Updated 6 months ago
- NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment☆16Updated 3 years ago
- Implementation of "Audio xLSTMs: Learning Self-supervised audio representations with xLSTMs" in PyTorch☆18Updated this week
- Conformer block with Rotary Position Embedding, modified from lucidrains' implement☆12Updated 7 months ago
- Code associated with the paper: CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition.☆14Updated last month
- ☆24Updated last year
- Acoustic Neighbor Embeddings☆21Updated 4 months ago
- Finetuning VITS Efficiently☆32Updated last year
- ☆19Updated last year