Recording tipps: Difference between revisions
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[[Category:Lessons learned]] | [[Category:Lessons learned]] | ||
When you plan to record a voice dataset to be used for a TTS model training you should check these | When you plan to record a voice dataset to be used for a TTS model training you should check these tips and tricks: | ||
* '''Use a good microphone and a quiet recording room setup''' (no | * '''Use a good microphone and a quiet recording room setup''' (no computer fans, air conditioning, ...) | ||
* Use a text corpus with cleaned numbers/abbreviations and good phoneme coverage | * Use a text corpus with cleaned numbers/abbreviations and good phoneme coverage | ||
* Read neutral, but with a natural speech flow and do not swallow up letters | * Read in a neutral style, but with a natural speech flow and do not swallow up letters | ||
* Adjust tone and pitch with punctuation | * Adjust tone and pitch with punctuation | ||
* Use a constant recording speed | * Use a constant recording speed | ||
* Check your recordings regularly in high volume for background noise | * Check your recordings regularly in high volume for background noise | ||
* | * Take breaks regularly and do not record more than four hours a day | ||
* Record error free | * Record error free | ||
* Investing in a quality interface and mic can make a big difference in quality. A 24 bit 96khz interface with a large diaphragm condenser can be had for about $200 USD. | * Investing in a quality interface and mic can make a big difference in quality. A 24 bit 96khz interface with a large diaphragm condenser can be had for about $200 USD. | ||
* Record at the highest quality level practical. You can convert to lesser formats later, but you | * Record at the highest quality level practical. You can convert to lesser formats later, but you cannot up convert cleanly | ||
* Review your work at regular intervals and compare with previous recording to ensure consistent quality | * Review your work at regular intervals and compare with previous recording to ensure consistent quality | ||
* Do not be afraid to ask for help! Getting feedback on your data early on can help prevent wasted effort. | * Do not be afraid to ask for help! Getting feedback on your data early on can help prevent wasted effort. | ||