Resemblyzer
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resemble-ai
A python package to analyze and compare voices with deep learning
from mpl_toolkits.axes_grid1 import make_axes_locatable from matplotlib.animation import FuncAnimation from resemblyzer.audio import sampling_rate from matplotlib import cm from time import sleep, perf_counter as timer from umap import UMAP from sys import...
Hello developers! Thank you so much for developing Resemblyzer and it is an amazing tool for me. I have actually been encountered a problems while developing, that when my input...
Hello everybody , first thanks to this community to support the developers. I tried the resemblyzer diarization and I got irrelevants results on the timestamps for each speaker compare to...
For the purpose of evaluating speaker diarization, I am trying to integrate DER evaluation script which requires time stamps of each active speaker speaking from start_time to end_time (as per...
Hey Developers! I was running the diarization (demo2) code to get line graphs for different speakers in a recording with the "similarity" variable on the Y axis. However, could you...
Diarization only applying for part of audio, I mean last few mins is not getting processed. I think that's because of below code in audio.py file: # Trim the end...
Hi, thanks for sharing I wonder how the pre-trained model was trained. What data did you use to train the encoder ? LibriSpeech ? VoxCeleb ?
Hi, In terms of speaker verification, when comparing two audio files with different voices by using the embedding does the speech have to be the same text spoken (text dependence)...
I am using resemblyzer to create embeddings for speaker diarization. It works fine when a whole wave file is loaded into the resemblyzer. Now I want to try out real-time...
Hi! I am trying to implement the paper: https://arxiv.org/pdf/1710.10468.pdf to create an **unsupervised** diarization algorithm using the d-vectors provided by the pre-trained model in Resemblyzer. I found that the length...
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A python package to analyze and compare voices with deep learning