Datasets:

MushanW

/

GLOBE_V2

like 3

Hello!

I listened to a few dozen samples and the audio quality seems lower in GLOBE_V2 than in GLOBE_V1. The supersampling might have introduced audio artifacts.

Also, in some cases the speaker voice characteristics completely changed.
For example, from the train split, first page using the viewer for both datasets:

S_001289 - "somewhere you are holding the person i love, the boy said."
S_001289 - "they seemed to laugh at him, and he laughed back, his heart bursting with joy."

These two rows have the same speaker id, but they seem to belong to two different voices in V2, one male and one female. In V1, these entries are read by the same voice.

Hi fatcatrat,

Thank you for your feedback!

“I listened to a few dozen samples, and the audio quality seems lower in GLOBE_V2 than in GLOBE_V1. The supersampling might have introduced audio artifacts.”

•	You are correct. GLOBE_V1 utilized Adobe’s speech enhancement tools, while GLOBE_V2 relied on open-source tools, which may result in lower audio quality. The reason for releasing GLOBE_V2 was to address an issue identified by some users who noted that GLOBE_V1 contained many samples with volume inconsistencies.

“Also, in some cases, the speaker voice characteristics completely changed.”

•	Thanks for pointing this out! Unfortunately, some metadata was lost after the publication of GLOBE_V1, so the V2 version was processed with new scripts. I will investigate further to identify any mistakes or mismatches in the speaker assignments.