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Tensorflow implementation of "Generalized End-to-End Loss for Speaker Verification"

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After testing the trained model by using code: python main.py --train False --model_path model_output I get results as inference time for 40 utterences : 1.64s [[[ 0.73 -0.43 -0.3 0....

TI-SV,I downloaded the vtck dataset. After decompressing, there are clean audio and Noise Audio, training and testing. When data preprocessing, do I put all audio files in one directory? What...

Suppose I want to test the voice/numpy array/features of one speaker against seven different speakers. Does the data of the single speaker go in the enrollment or the verification batch?...

Hi! First of all, I want to thank you for a great library - it saved me a lot of time! I noticed that when you calculate center_except in similarity(),...

hello,can this project be used to identify a new speaker? I mean a wav which belongs to none of the enrollment utterance.

https://github.com/Janghyun1230/Speaker_Verification/blob/170e81ba41f4ec34971a26c90d889a8174d5ea8c/data_preprocess.py#L69

To my knowledge, the test process may be simplified as follows: restore the model and get tensors we need, including the input utterances and the output embedding matrix, something like:...

The speech_commands_dataset2 is better for tdsv. The same speaker has multiple utterances for the same keyword. :) [Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition](https://arxiv.org/abs/1804.03209) [download](https://storage.cloud.google.com/download.tensorflow.org/data/speech_commands_v0.02.tar.gz) @Janghyun1230

When I feed a 1000ms audio data into the feature extraction process, frame length is 25ms, frame shift is 10ms.it should be 98 frames in total, but in your code,...

41th speaker processing... (0,) 169th speaker processing... (0,) this audios was 3 sec TI-SV speakers audio. @Janghyun1230 sir some audios features not extracted properly. how to resolve this issue?