yukara-ikemiya / minimal-sqvae
A minimal Pytorch Implementation of Stochastically Quantized Variational AutoEncoder (SQ-VAE) by Sony
☆29Updated 11 months ago
Related projects: ⓘ
- Official PyTorch implementation of "EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders"☆10Updated 9 months ago
- Speech Parameter Estimation Using Differentiable Speech Synthesizer☆44Updated last year
- An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.☆11Updated 2 years ago
- Inspired by "Neural Networks Fail to Learn Periodic Functions and How to Fix It"☆56Updated 4 months ago
- Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.☆18Updated 3 years ago
- Experiments from the paper "Sinusoidal Frequency Estimation by Gradient Descent"☆56Updated last year
- My attempts at applying Soundstream design on learned tokenization of text and then applying hierarchical attention to text generation☆76Updated last year
- ☆26Updated 3 years ago
- Temporary anonymous version☆22Updated 6 months ago
- Code for the paper "Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks".☆13Updated last year
- ☆19Updated 2 years ago
- Accompanying code for our paper "Optimizing Short-Time Fourier Transform Parameters via Gradient Descent"☆31Updated 3 years ago
- ☆29Updated 2 years ago
- A Python package of the dynamic compressive gammachirp filterbank (dcGC-FB)☆27Updated 4 months ago
- Torch implementation of Whisper-guided DDPM based Voice Conversion☆49Updated last year
- Fast and differentiable hidden Markov model in C++☆15Updated last year
- ☆23Updated last month
- GPT for FACodec☆13Updated 5 months ago
- ☆17Updated 7 months ago
- A home for audio ML in JAX. Has common features, learnable frontends, pretrained supervised and self-supervised models.☆62Updated 2 years ago
- Jax/Flax implementation of Variational-DiffWave.☆40Updated 2 years ago
- Implementation of the DIVA model of speech acquisition and production using PyTorch☆20Updated last year
- Labels for kiritan_singing data with extra resources for DNN-based singing voice synthesis (SVS) systems.☆29Updated 8 months ago
- Based on https://github.com/fatchord/WaveRNN☆24Updated 4 years ago
- Learning and controlling the source-filter representation of speech with a variational autoencoder☆45Updated last year
- Ono laboratory audio signal processing exercise for beginners.☆19Updated last year
- ☆11Updated last year
- Official code of ElasticAST (Interspeech 2024 paper)☆20Updated last month
- Training code and trained checkpoints for ASGAN.☆60Updated 8 months ago
- ☆12Updated 3 years ago