Lingvo utils for Google SVL team
Project description
Lingvo-based modules for speaker and language recognition
Overview
Here we open source some of the Lingvo-based modules used in our publications.
Disclaimer
This is NOT an official Google product.
GE2E and GE2E-XS losses
GE2E and GE2E-XS losses are implemented in lingvo/loss_layers.py
.
GE2E was proposed in this paper:
GE2E-XS was proposed in this paper:
Attentive temporal pooling
Attentive temporal pooling is implemented in lingvo/cumulative_statistics_layer.py
.
It is used by these papers:
- Attentive Temporal Pooling for Conformer-based Streaming Language Identification in Long-form Speech
- Parameter-Free Attentive Scoring for Speaker Verification
Attentive scoring
Attentive scoring is implemented in lingvo/attentive_scoring_layer.py
.
It is proposed in this paper:
Citations
Our papers are cited as:
@inproceedings{wan2018generalized,
title={Generalized end-to-end loss for speaker verification},
author={Wan, Li and Wang, Quan and Papir, Alan and Moreno, Ignacio Lopez},
booktitle={International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages={4879--4883},
year={2018},
organization={IEEE}
}
@inproceedings{pelecanos2021drvectors,
title={{Dr-Vectors: Decision Residual Networks and an Improved Loss for Speaker Recognition}},
author={Jason Pelecanos and Quan Wang and Ignacio Lopez Moreno},
year={2021},
booktitle={Proc. Interspeech},
pages={4603--4607},
doi={10.21437/Interspeech.2021-641}
}
@inproceedings{pelecanos2022parameter,
title={Parameter-Free Attentive Scoring for Speaker Verification},
author={Jason Pelecanos and Quan Wang and Yiling Huang and Ignacio Lopez Moreno},
booktitle={Odyssey: The Speaker and Language Recognition Workshop},
year={2022}
}
@inproceedings{wang2022attentive,
title={Attentive Temporal Pooling for Conformer-based Streaming Language Identification in Long-form Speech},
author={Quan Wang and Yang Yu and Jason Pelecanos and Yiling Huang and Ignacio Lopez Moreno},
booktitle={Odyssey: The Speaker and Language Recognition Workshop},
year={2022}
}
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