Speaker diarization through speaker embeddings

By Mickael Rouvier, Pierre-Michel Bousquet, Benoit Favre. 2015

38 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Wei Ping
2. Kainan Peng
3. Sercan Ö. Arik
4. Xu Tan
5. Jitong Chen
6. Junichi Yamagishi
7. Tie-Yan Liu
8. Tao Qin

In Signal Processing

1. Wei Ping
2. Kainan Peng
3. Yanqi Zhou
4. Sercan Ö. Arik
5. Thilo Stadelmann
6. Jitong Chen
7. Oliver Durr
8. Yanick X. Lukic

Citations in the corpus

• Neural Voice Cloning with a Few Samples (2018, background): “, 2017), speaker diarization (Rouvier et al., 2015), automatic speech recognition (Doddipatla, 2016) and speech synthesis (Arik et al.”
• Speaker identification and clustering using convolutional neural networks (2016, methodology): “This idea of speaker embeddings is further explored by Rouvier, Bousquet and Favre with a nonconvolutional deep network using a 61440 dimensional supervector obtained from a Gaussian Mixture Universal Background Model (GMM-UBM) as input [20].”