Firepal / Firepal/stammer

Map numpy audio band arrays to files

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#49 1 comment 0 reactions 0 assignees View on GitHub
enhancement good first issue
Dominant language
Python
Stars
504
Forks
38
Avg merge
9h 44m
Merged PRs (30d)
9

Description

I've noticed that the audio band arrays can be very memory-intensive. I've seen my RAM easily eaten up just from the "analyzing audio" phase.

We could have array data on disk using `numpy.memmap`.

Contributor guide

No contributing guide indexed for this repository

Research direction

Locate the code that creates and consumes the audio band arrays during the “analyzing audio” phase; the issue names NumPy and `numpy.memmap` but no file or test paths. Confirm how those arrays are currently allocated, then verify that the analysis uses on-disk array data without exhausting RAM.

Written by the indexing model from the issue text.

Assessment

Tech stack
numpy, python
Domain
audio-video-rtc
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
30/100

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