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Found 4 papers, 3 papers with code
Tackling Interpretability in Audio Classification Networks with Non-negative Matrix Factorization
This paper tackles two major problem settings for interpretability of audio processing networks, post-hoc and by-design interpretation.
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF
This paper tackles post-hoc interpretability for audio processing networks.
A Framework to Learn with Interpretation
The interpreter provides both local and global interpretability about the predictive model in terms of human-understandable high level attribute functions, with minimal loss of accuracy.
Speech-to-Singing Conversion in an Encoder-Decoder Framework
In this paper our goal is to convert a set of spoken lines into sung ones.
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