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Using higher sample rate for training and inference

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
20/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
python
Domain
machine-learning

Research direction

Start by reviewing the Diffsinger demo pipeline and the sample-rate assumptions in the acoustic model and HiFi-GAN vocoder. Determine whether 48k inference requires retraining either component; done would be a validated answer or documented support for the higher sample rate.

Written by the indexing model from the issue text.

Description

The Diffsinger demo code is great, but the pipeline demonstrated here is all 24k sample rate, is it possible to further improve the sound quality with a higher sampling rate？Does the acoustic model and the HifiGan vocoder have to be retrained if the sample rate is increased to 48k?

Dominant language
Python
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