Multi-Scale Temporal Frequency Convolutional Network With Axial Attention for Speech Enhancement

Last update: Dec 19, 2022

Overview

MTFAA-Net

Unofficial PyTorch implementation of Baidu's MTFAA-Net: "Multi-Scale Temporal Frequency Convolutional Network With Axial Attention for Speech Enhancement".

some whls

# under your python env.
pip install einops
pip install spafe

some bugs?

Implementation details may not be consistent with the paper, and any comments are welcome ([email protected])

Owner

Shimin Zhang

Speech Enhancement

GitHub Repository

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Multi-Scale Temporal Frequency Convolutional Network With Axial Attention for Speech Enhancement

Related tags

Overview

MTFAA-Net

some whls

some bugs?

Owner

Shimin Zhang

Rethinking the Truly Unsupervised Image-to-Image Translation - Official PyTorch Implementation (ICCV 2021)

Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering

Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech tagging and word segmentation.

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RuCLIP tiny (Russian Contrastive Language–Image Pretraining) is a neural network trained to work with different pairs (images, texts).

Task-based datasets, preprocessing, and evaluation for sequence models.

The official implementation of VAENAR-TTS, a VAE based non-autoregressive TTS model.

EMNLP'2021: Can Language Models be Biomedical Knowledge Bases?

Code Implementation of "Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction".

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An official repository for tutorials of Probabilistic Modelling and Reasoning (2021/2022) - a University of Edinburgh master's course.

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