Open Schalkn opened 5 years ago
From the absolute score it's hard to asses a match. The scores are typically used for comparison with each other.
Thank you for your quick reply!! Really appreciate it. So how do I decide how good/bad they are matching? I also get some result called "average quality", which is eg -9, but I don't know if this is usable, or what it means?
Hi there. I'm so sorry to bother you so much (hope I don't bother you in your holiday as well). Can you perhaps help me, in how I can decide if two voice clips are a match, by using the scores? Or is it not possible at all? Thank you so much.
I don't know if it's possible to decide a match from absolute score.
How do you do it?
From: Yuxin Wu Sent: Wednesday, 02 January 2019 22:07 To: ppwwyyxx/speaker-recognition Cc: Schalkn; Author Subject: Re: [ppwwyyxx/speaker-recognition] Features scores issue (#84)
I don't know if it's possible to decide a match from absolute score. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or mute the thread.
Can you perhaps help? How do you do it?
I don't know how to decide a match from absolute score.
So if getting the absolute scores are the wrong way, how should I compare two voice clips, to see if they are the same person?
Hi I took over a project based on your libraries. I'm trying to determine whether two voice clips come from the same speaker or not. There's one thing I don't understand: At one place, all the features of the two voice clips are compared, and I get somewhere between 3000 and 7000 scores as output, ranging roughly between -120 and 100. How do I use these to determine how good/bad the match was?