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Fernando López Gavilánez's Projects

audiomer-pytorch icon audiomer-pytorch

A Convolutional Transformer for Keyword Spotting (AAAI 2022 DSTC Workshop)

ctc-loss icon ctc-loss

A PyTorch implementation of CTCLoss (for learning purposes)

ctc-segmentation icon ctc-segmentation

Segment an audio file and obtain utterance alignments. (Python package)

degan icon degan

Deep Effect Generation using GANs

denoiser icon denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

desed_task icon desed_task

Domestic environment sound event detection task

diart icon diart

Lightweight python library for streaming speaker diarization in real-time implemented in pytorch

performer-pytorch icon performer-pytorch

An implementation of Performer, a linear attention-based transformer, in Pytorch

ssast icon ssast

Code for the AAAI 2022 paper "SSAST: Self-Supervised Audio Spectrogram Transformer".

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