Who Do I Sound like? Showcasing Speaker Recognition Technology by Youtube Voice Search

The popularization of science can often be disregarded by scientists as it may be challenging to put highly sophisticated research into words that general public can understand. This work aims to help presenting speaker recognition research to public by proposing a publicly appealing concept for showcasing recognition systems. We leverage data from YouTube and use it in a large-scale voice search web application that finds the celebrity voices that best match to the user’s voice. The concept was tested in a public event as well as "in the wild" and the received feedback was mostly positive. The i-vector based speaker identification back end was found to be fast (665 ms per request) and had a high identification accuracy (93%) for the YouTube target speakers. To help other researchers to develop the idea further, we share the source codes of the web platform used for the demo at https://github.com/bilalsoomro/speech-demo-platform.

[1]  Daniel Garcia-Romero,et al.  Analysis of i-vector Length Normalization in Speaker Recognition Systems , 2011, INTERSPEECH.

[2]  Matthew Sharifi,et al.  Large-scale speaker identification , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[3]  Srikanth R Madikeri,et al.  A fast and scalable hybrid FA/PPCA-based framework for speaker recognition , 2014, Digit. Signal Process..

[4]  William M. Campbell,et al.  Advances in channel compensation for SVM speaker recognition , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[5]  Douglas A. Reynolds,et al.  Speaker Verification Using Adapted Gaussian Mixture Models , 2000, Digit. Signal Process..

[6]  Bin Ma,et al.  Joint Application of Speech and Speaker Recognition for Automation and Security in Smart Home , 2011, INTERSPEECH.

[7]  Patrick Kenny.  A small footprint i-vector extractor , 2012, Odyssey.

[8]  Andrew Zisserman,et al.  Emotion Recognition in Speech using Cross-Modal Transfer in the Wild , 2018, ACM Multimedia.

[9]  Patrick Kenny,et al.  Front-End Factor Analysis for Speaker Verification , 2011, IEEE Transactions on Audio, Speech, and Language Processing.

[10]  Joon Son Chung,et al.  VoxCeleb2: Deep Speaker Recognition , 2018, INTERSPEECH.

[11]  Tomi Kinnunen,et al.  Supervector Compression Strategies to Speed up I-Vector System Development , 2018, Odyssey.

[12]  Joon Son Chung,et al.  VoxCeleb: A Large-Scale Speaker Identification Dataset , 2017, INTERSPEECH.

[13]  Joon Son Chung,et al.  The Conversation: Deep Audio-Visual Speech Enhancement , 2018, INTERSPEECH.

[14]  DeLiang Wang,et al.  Robust Speaker Identification in Noisy and Reverberant Conditions , 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.