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I have taken a closer look at the noise contributions at media.xiph.org/rnnoise/rnnoise_contributions.tar.gz. With the help of sox
I have skimmed through some of the loudest files and found many instances where the noise is so loud, that I find it unreasonable to expect an AI model to recognize voice next to it. Those are the most problematic files I've found:
- 1506612372095-other.raw
- 1506865846246-other.raw
- 1506890776920-other.raw
- 1506896387552-other.raw
- 1506904933605-coffee.raw
- 1506905761767-coffee.raw
- 1506931866078-other.raw
- 1506937851368-office.raw
- 1506942115691-office.raw
- 1507008551397-other.raw
- 1507024121772-other.raw
- 1507046472430-other.raw
- 1507051246600-street.raw
- 1507053038795-other.raw
- 1507225021633-other.raw
- 1507225705223-other.raw
- 1507256882651-other.raw
- 1507264564781-other.raw
- 1507279040493-train.raw
- 1507279110456-train.raw
- 1507288337806-other.raw
- 1506716634275-other.raw
- 1507372594108-office.raw
- 1508468651573-office.raw
- 1508504834575-car.raw
- 1508917528488-office.raw
- 1509685708555-none.raw
- 1509701170578-train.raw
- 1511050964203-none.raw
I think removing those files from the dataset will improve the quality of the AI model.
There are many more files containing loud noise, but I've tried not to include files where a human could at least make out some voice next to the noise.
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