【PaperReading】AN ATTENTION-BASED NEURAL NETWORK APPROACH FOR SINGLE CHANNEL SPEECH ENHANCEMENT

最新推荐文章于 2023-11-05 21:13:17 发布

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最新推荐文章于 2023-11-05 21:13:17 发布 · 406 阅读

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What’s main claim? Key idea?

In this paper, the authors explore the attention-based neural network structures for improving the performance of speech enhancement. This paper adopt attention mechanism on LSTM-RNN models. Specifically, taking noisy spectrum as input, this model is composed of an LSTM based encoder, an attention mechanism and a speech generator, resulting in enhanced spectrum.
Is there code available? Data?

No code

Data: randomly select a clean speech file from a multiple-speaker speech corpus which has 21407 utterances (about 24.5 hours) and a noise file from the Musan corpus.
Is the idea neat? Is it counter-intuitive?

It is intuitive to use atte