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Speaker Recognition and Characterization (SPE-SPKR)

Text-dependent Speaker Verification and RSR2015 Speech Corpus


RSR2015 (Robust Speaker Recognition 2015) is the largest publicly available speech corpus for text-dependent robust speaker recognition. The current release includes 151 hours of short duration utterances spoken by 300 speakers. RSR2015 is developed by the Human Language Technology (HLT) department at Institute for Infocomm Research (I2R) in Singapore. This newsletter describes RSR2015 corpus that addresses the reviving interest of text-dependent speaker recognition.

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23 February 2016 - 1:44pm
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[1] , "Text-dependent Speaker Verification and RSR2015 Speech Corpus", IEEE SigPort, 2014. [Online]. Available: http://sigport.org/54. Accessed: Jul. 03, 2020.
@article{54-14,
url = {http://sigport.org/54},
author = { },
publisher = {IEEE SigPort},
title = {Text-dependent Speaker Verification and RSR2015 Speech Corpus},
year = {2014} }
TY - EJOUR
T1 - Text-dependent Speaker Verification and RSR2015 Speech Corpus
AU -
PY - 2014
PB - IEEE SigPort
UR - http://sigport.org/54
ER -
. (2014). Text-dependent Speaker Verification and RSR2015 Speech Corpus. IEEE SigPort. http://sigport.org/54
, 2014. Text-dependent Speaker Verification and RSR2015 Speech Corpus. Available at: http://sigport.org/54.
. (2014). "Text-dependent Speaker Verification and RSR2015 Speech Corpus." Web.
1. . Text-dependent Speaker Verification and RSR2015 Speech Corpus [Internet]. IEEE SigPort; 2014. Available from : http://sigport.org/54

I-VECTOR TRANSFORMATION USING K-NEAREST NEIGHBORS FOR SPEAKER VERIFICATION

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Miquel India, Javier Hernando
Submitted On:
26 May 2020 - 4:46am
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[1] Miquel India, Javier Hernando, "I-VECTOR TRANSFORMATION USING K-NEAREST NEIGHBORS FOR SPEAKER VERIFICATION", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5438. Accessed: Jul. 03, 2020.
@article{5438-20,
url = {http://sigport.org/5438},
author = {Miquel India; Javier Hernando },
publisher = {IEEE SigPort},
title = {I-VECTOR TRANSFORMATION USING K-NEAREST NEIGHBORS FOR SPEAKER VERIFICATION},
year = {2020} }
TY - EJOUR
T1 - I-VECTOR TRANSFORMATION USING K-NEAREST NEIGHBORS FOR SPEAKER VERIFICATION
AU - Miquel India; Javier Hernando
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5438
ER -
Miquel India, Javier Hernando. (2020). I-VECTOR TRANSFORMATION USING K-NEAREST NEIGHBORS FOR SPEAKER VERIFICATION. IEEE SigPort. http://sigport.org/5438
Miquel India, Javier Hernando, 2020. I-VECTOR TRANSFORMATION USING K-NEAREST NEIGHBORS FOR SPEAKER VERIFICATION. Available at: http://sigport.org/5438.
Miquel India, Javier Hernando. (2020). "I-VECTOR TRANSFORMATION USING K-NEAREST NEIGHBORS FOR SPEAKER VERIFICATION." Web.
1. Miquel India, Javier Hernando. I-VECTOR TRANSFORMATION USING K-NEAREST NEIGHBORS FOR SPEAKER VERIFICATION [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5438

Optimizing Bayesian HMM Based x-vector Clustering for theSecond DIHARD Speech Diarization Challenge

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Authors:
Mireia Diez, Lukas Burget, Federico Landini, Shuai Wang, Honza Cernocky
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21 May 2020 - 9:13am
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[1] Mireia Diez, Lukas Burget, Federico Landini, Shuai Wang, Honza Cernocky, "Optimizing Bayesian HMM Based x-vector Clustering for theSecond DIHARD Speech Diarization Challenge", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5427. Accessed: Jul. 03, 2020.
@article{5427-20,
url = {http://sigport.org/5427},
author = {Mireia Diez; Lukas Burget; Federico Landini; Shuai Wang; Honza Cernocky },
publisher = {IEEE SigPort},
title = {Optimizing Bayesian HMM Based x-vector Clustering for theSecond DIHARD Speech Diarization Challenge},
year = {2020} }
TY - EJOUR
T1 - Optimizing Bayesian HMM Based x-vector Clustering for theSecond DIHARD Speech Diarization Challenge
AU - Mireia Diez; Lukas Burget; Federico Landini; Shuai Wang; Honza Cernocky
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5427
ER -
Mireia Diez, Lukas Burget, Federico Landini, Shuai Wang, Honza Cernocky. (2020). Optimizing Bayesian HMM Based x-vector Clustering for theSecond DIHARD Speech Diarization Challenge. IEEE SigPort. http://sigport.org/5427
Mireia Diez, Lukas Burget, Federico Landini, Shuai Wang, Honza Cernocky, 2020. Optimizing Bayesian HMM Based x-vector Clustering for theSecond DIHARD Speech Diarization Challenge. Available at: http://sigport.org/5427.
Mireia Diez, Lukas Burget, Federico Landini, Shuai Wang, Honza Cernocky. (2020). "Optimizing Bayesian HMM Based x-vector Clustering for theSecond DIHARD Speech Diarization Challenge." Web.
1. Mireia Diez, Lukas Burget, Federico Landini, Shuai Wang, Honza Cernocky. Optimizing Bayesian HMM Based x-vector Clustering for theSecond DIHARD Speech Diarization Challenge [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5427

A Generalized Framework for Domain Adaptation of PLDA in Speaker Recognition


This paper proposes a generalized framework for domain adaptation of Probabilistic Linear Discriminant Analysis (PLDA) in speaker recognition. It not only includes several existing supervised and unsupervised domain adaptation methods but also makes possible more flexible usage of available data in different domains. In particular, we introduce here the two new techniques described below. (1) Correlation-alignment-based interpolation and (2) covariance regularization.

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Authors:
Qiongqiong Wang, Koji Okabe, Kong Aik Lee, Takafumi Koshinaka
Submitted On:
20 May 2020 - 8:49pm
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[1] Qiongqiong Wang, Koji Okabe, Kong Aik Lee, Takafumi Koshinaka, "A Generalized Framework for Domain Adaptation of PLDA in Speaker Recognition", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5422. Accessed: Jul. 03, 2020.
@article{5422-20,
url = {http://sigport.org/5422},
author = {Qiongqiong Wang; Koji Okabe; Kong Aik Lee; Takafumi Koshinaka },
publisher = {IEEE SigPort},
title = {A Generalized Framework for Domain Adaptation of PLDA in Speaker Recognition},
year = {2020} }
TY - EJOUR
T1 - A Generalized Framework for Domain Adaptation of PLDA in Speaker Recognition
AU - Qiongqiong Wang; Koji Okabe; Kong Aik Lee; Takafumi Koshinaka
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5422
ER -
Qiongqiong Wang, Koji Okabe, Kong Aik Lee, Takafumi Koshinaka. (2020). A Generalized Framework for Domain Adaptation of PLDA in Speaker Recognition. IEEE SigPort. http://sigport.org/5422
Qiongqiong Wang, Koji Okabe, Kong Aik Lee, Takafumi Koshinaka, 2020. A Generalized Framework for Domain Adaptation of PLDA in Speaker Recognition. Available at: http://sigport.org/5422.
Qiongqiong Wang, Koji Okabe, Kong Aik Lee, Takafumi Koshinaka. (2020). "A Generalized Framework for Domain Adaptation of PLDA in Speaker Recognition." Web.
1. Qiongqiong Wang, Koji Okabe, Kong Aik Lee, Takafumi Koshinaka. A Generalized Framework for Domain Adaptation of PLDA in Speaker Recognition [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5422

A study of speaker verification performance with expressive speech


Expressive speech introduces variations in the acoustic features affecting the performance of speech technology such as speaker verification systems. It is important to identify the range of emotions for which we can reliably estimate speaker verification tasks. This paper studies the performance of a speaker verification system as a function of emotions. Instead of categorical classes such as happiness or anger, which have important intra-class variability, we use the continuous attributes arousal, valence, and dominance which facili- tate the analysis.

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Authors:
Srinivas Parthasarathy, Chunlei Zhang, John H.L. Hansen, Carlos Busso
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20 May 2020 - 10:37am
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[1] Srinivas Parthasarathy, Chunlei Zhang, John H.L. Hansen, Carlos Busso, "A study of speaker verification performance with expressive speech", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5416. Accessed: Jul. 03, 2020.
@article{5416-20,
url = {http://sigport.org/5416},
author = {Srinivas Parthasarathy; Chunlei Zhang; John H.L. Hansen; Carlos Busso },
publisher = {IEEE SigPort},
title = {A study of speaker verification performance with expressive speech},
year = {2020} }
TY - EJOUR
T1 - A study of speaker verification performance with expressive speech
AU - Srinivas Parthasarathy; Chunlei Zhang; John H.L. Hansen; Carlos Busso
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5416
ER -
Srinivas Parthasarathy, Chunlei Zhang, John H.L. Hansen, Carlos Busso. (2020). A study of speaker verification performance with expressive speech. IEEE SigPort. http://sigport.org/5416
Srinivas Parthasarathy, Chunlei Zhang, John H.L. Hansen, Carlos Busso, 2020. A study of speaker verification performance with expressive speech. Available at: http://sigport.org/5416.
Srinivas Parthasarathy, Chunlei Zhang, John H.L. Hansen, Carlos Busso. (2020). "A study of speaker verification performance with expressive speech." Web.
1. Srinivas Parthasarathy, Chunlei Zhang, John H.L. Hansen, Carlos Busso. A study of speaker verification performance with expressive speech [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5416

COMBINING DEEP EMBEDDINGS OF ACOUSTIC AND ARTICULATORY FEATURES FOR SPEAKER IDENTIFICATION


In this study, deep embedding of acoustic and articulatory features are combined for speaker identification. First, a convolutional neural network (CNN)-based universal background model (UBM) is constructed to generate acoustic feature (AC) embedding. In addition, as the articulatory features (AFs) represent some important phonological properties during speech production, a multilayer perceptron (MLP)-based AF embedding extraction model is also constructed for AF embedding extraction.

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Authors:
Qian-Bei Hong, Chung-Hsien Wu, Hsin-Min Wang, Chien-Lin Huang
Submitted On:
16 May 2020 - 12:02am
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[1] Qian-Bei Hong, Chung-Hsien Wu, Hsin-Min Wang, Chien-Lin Huang, "COMBINING DEEP EMBEDDINGS OF ACOUSTIC AND ARTICULATORY FEATURES FOR SPEAKER IDENTIFICATION", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5366. Accessed: Jul. 03, 2020.
@article{5366-20,
url = {http://sigport.org/5366},
author = {Qian-Bei Hong; Chung-Hsien Wu; Hsin-Min Wang; Chien-Lin Huang },
publisher = {IEEE SigPort},
title = {COMBINING DEEP EMBEDDINGS OF ACOUSTIC AND ARTICULATORY FEATURES FOR SPEAKER IDENTIFICATION},
year = {2020} }
TY - EJOUR
T1 - COMBINING DEEP EMBEDDINGS OF ACOUSTIC AND ARTICULATORY FEATURES FOR SPEAKER IDENTIFICATION
AU - Qian-Bei Hong; Chung-Hsien Wu; Hsin-Min Wang; Chien-Lin Huang
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5366
ER -
Qian-Bei Hong, Chung-Hsien Wu, Hsin-Min Wang, Chien-Lin Huang. (2020). COMBINING DEEP EMBEDDINGS OF ACOUSTIC AND ARTICULATORY FEATURES FOR SPEAKER IDENTIFICATION. IEEE SigPort. http://sigport.org/5366
Qian-Bei Hong, Chung-Hsien Wu, Hsin-Min Wang, Chien-Lin Huang, 2020. COMBINING DEEP EMBEDDINGS OF ACOUSTIC AND ARTICULATORY FEATURES FOR SPEAKER IDENTIFICATION. Available at: http://sigport.org/5366.
Qian-Bei Hong, Chung-Hsien Wu, Hsin-Min Wang, Chien-Lin Huang. (2020). "COMBINING DEEP EMBEDDINGS OF ACOUSTIC AND ARTICULATORY FEATURES FOR SPEAKER IDENTIFICATION." Web.
1. Qian-Bei Hong, Chung-Hsien Wu, Hsin-Min Wang, Chien-Lin Huang. COMBINING DEEP EMBEDDINGS OF ACOUSTIC AND ARTICULATORY FEATURES FOR SPEAKER IDENTIFICATION [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5366

Statistics Pooling Time Delay Neural Network Based on X-vector for Speaker Verification


This paper aims to improve speaker embedding representation based on x-vector for extracting more detailed information for speaker verification. We propose a statistics pooling time delay neural network (TDNN), in which the TDNN structure integrates statistics pooling for each layer, to consider the variation of temporal context in frame-level transformation. The proposed feature vector, named as stats-vector, are compared with the baseline x-vector features on the VoxCeleb dataset and the Speakers in the Wild (SITW) dataset for speaker verification.

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Authors:
Qian-Bei Hong, Chung-Hsien Wu, Hsin-Min Wang, Chien-Lin Huang
Submitted On:
15 May 2020 - 11:55pm
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20200419_ICASSP_Experiment 1.pdf

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[1] Qian-Bei Hong, Chung-Hsien Wu, Hsin-Min Wang, Chien-Lin Huang, "Statistics Pooling Time Delay Neural Network Based on X-vector for Speaker Verification", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5365. Accessed: Jul. 03, 2020.
@article{5365-20,
url = {http://sigport.org/5365},
author = {Qian-Bei Hong; Chung-Hsien Wu; Hsin-Min Wang; Chien-Lin Huang },
publisher = {IEEE SigPort},
title = {Statistics Pooling Time Delay Neural Network Based on X-vector for Speaker Verification},
year = {2020} }
TY - EJOUR
T1 - Statistics Pooling Time Delay Neural Network Based on X-vector for Speaker Verification
AU - Qian-Bei Hong; Chung-Hsien Wu; Hsin-Min Wang; Chien-Lin Huang
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5365
ER -
Qian-Bei Hong, Chung-Hsien Wu, Hsin-Min Wang, Chien-Lin Huang. (2020). Statistics Pooling Time Delay Neural Network Based on X-vector for Speaker Verification. IEEE SigPort. http://sigport.org/5365
Qian-Bei Hong, Chung-Hsien Wu, Hsin-Min Wang, Chien-Lin Huang, 2020. Statistics Pooling Time Delay Neural Network Based on X-vector for Speaker Verification. Available at: http://sigport.org/5365.
Qian-Bei Hong, Chung-Hsien Wu, Hsin-Min Wang, Chien-Lin Huang. (2020). "Statistics Pooling Time Delay Neural Network Based on X-vector for Speaker Verification." Web.
1. Qian-Bei Hong, Chung-Hsien Wu, Hsin-Min Wang, Chien-Lin Huang. Statistics Pooling Time Delay Neural Network Based on X-vector for Speaker Verification [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5365

BUT System for the Second DIHARD Speech Diarization Challenge


This paper describes the winning systems developed by the BUT team for the four tracks of the Second DIHARD Speech Diarization Challenge. For tracks 1 and 2 the systems were mainly based on performing agglomerative hierarchical clustering (AHC) of x-vectors, followed by another x-vector clustering based on Bayes hidden Markov model and variational Bayes inference. We provide a comparison of the improvement given by each step and share the implementation of the core of the system.

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Authors:
Federico Landini, Shuai Wang, Mireia Diez, Lukáš Burget, Pavel Matějka, Kateřina Žmolíková, Ladislav Mošner, Anna Silnova, Oldřich Plchot, Ondřej Novotný, Hossein Zeinali, Johan Rodhin
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15 May 2020 - 3:46am
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[1] Federico Landini, Shuai Wang, Mireia Diez, Lukáš Burget, Pavel Matějka, Kateřina Žmolíková, Ladislav Mošner, Anna Silnova, Oldřich Plchot, Ondřej Novotný, Hossein Zeinali, Johan Rodhin, "BUT System for the Second DIHARD Speech Diarization Challenge", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5341. Accessed: Jul. 03, 2020.
@article{5341-20,
url = {http://sigport.org/5341},
author = {Federico Landini; Shuai Wang; Mireia Diez; Lukáš Burget; Pavel Matějka; Kateřina Žmolíková; Ladislav Mošner; Anna Silnova; Oldřich Plchot; Ondřej Novotný; Hossein Zeinali; Johan Rodhin },
publisher = {IEEE SigPort},
title = {BUT System for the Second DIHARD Speech Diarization Challenge},
year = {2020} }
TY - EJOUR
T1 - BUT System for the Second DIHARD Speech Diarization Challenge
AU - Federico Landini; Shuai Wang; Mireia Diez; Lukáš Burget; Pavel Matějka; Kateřina Žmolíková; Ladislav Mošner; Anna Silnova; Oldřich Plchot; Ondřej Novotný; Hossein Zeinali; Johan Rodhin
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5341
ER -
Federico Landini, Shuai Wang, Mireia Diez, Lukáš Burget, Pavel Matějka, Kateřina Žmolíková, Ladislav Mošner, Anna Silnova, Oldřich Plchot, Ondřej Novotný, Hossein Zeinali, Johan Rodhin. (2020). BUT System for the Second DIHARD Speech Diarization Challenge. IEEE SigPort. http://sigport.org/5341
Federico Landini, Shuai Wang, Mireia Diez, Lukáš Burget, Pavel Matějka, Kateřina Žmolíková, Ladislav Mošner, Anna Silnova, Oldřich Plchot, Ondřej Novotný, Hossein Zeinali, Johan Rodhin, 2020. BUT System for the Second DIHARD Speech Diarization Challenge. Available at: http://sigport.org/5341.
Federico Landini, Shuai Wang, Mireia Diez, Lukáš Burget, Pavel Matějka, Kateřina Žmolíková, Ladislav Mošner, Anna Silnova, Oldřich Plchot, Ondřej Novotný, Hossein Zeinali, Johan Rodhin. (2020). "BUT System for the Second DIHARD Speech Diarization Challenge." Web.
1. Federico Landini, Shuai Wang, Mireia Diez, Lukáš Burget, Pavel Matějka, Kateřina Žmolíková, Ladislav Mošner, Anna Silnova, Oldřich Plchot, Ondřej Novotný, Hossein Zeinali, Johan Rodhin. BUT System for the Second DIHARD Speech Diarization Challenge [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5341

MULTI-RESOLUTION MULTI-HEAD ATTENTION IN DEEP SPEAKER EMBEDDING

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Authors:
Zhiming Wang, Kaisheng Yao, Xiaolong Li, Shuo Fang
Submitted On:
13 May 2020 - 11:21pm
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ICASSP2020--MULTI-RESOLUTION MULTI-HEAD ATTENTION IN DEEP SPEAKER EMBEDDING--PPT

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[1] Zhiming Wang, Kaisheng Yao, Xiaolong Li, Shuo Fang, "MULTI-RESOLUTION MULTI-HEAD ATTENTION IN DEEP SPEAKER EMBEDDING", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5214. Accessed: Jul. 03, 2020.
@article{5214-20,
url = {http://sigport.org/5214},
author = {Zhiming Wang; Kaisheng Yao; Xiaolong Li; Shuo Fang },
publisher = {IEEE SigPort},
title = {MULTI-RESOLUTION MULTI-HEAD ATTENTION IN DEEP SPEAKER EMBEDDING},
year = {2020} }
TY - EJOUR
T1 - MULTI-RESOLUTION MULTI-HEAD ATTENTION IN DEEP SPEAKER EMBEDDING
AU - Zhiming Wang; Kaisheng Yao; Xiaolong Li; Shuo Fang
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5214
ER -
Zhiming Wang, Kaisheng Yao, Xiaolong Li, Shuo Fang. (2020). MULTI-RESOLUTION MULTI-HEAD ATTENTION IN DEEP SPEAKER EMBEDDING. IEEE SigPort. http://sigport.org/5214
Zhiming Wang, Kaisheng Yao, Xiaolong Li, Shuo Fang, 2020. MULTI-RESOLUTION MULTI-HEAD ATTENTION IN DEEP SPEAKER EMBEDDING. Available at: http://sigport.org/5214.
Zhiming Wang, Kaisheng Yao, Xiaolong Li, Shuo Fang. (2020). "MULTI-RESOLUTION MULTI-HEAD ATTENTION IN DEEP SPEAKER EMBEDDING." Web.
1. Zhiming Wang, Kaisheng Yao, Xiaolong Li, Shuo Fang. MULTI-RESOLUTION MULTI-HEAD ATTENTION IN DEEP SPEAKER EMBEDDING [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5214

ICASSP2020 Overlap-Aware Diarization Poster Presentation


We address the problem of effectively handling overlapping speech in a diarization system. First, we detail a neural Long Short-Term Memory-based architecture for overlap detection. Secondly, detected overlap regions are exploited in conjunction with a frame-level speaker posterior matrix to make two-speaker assignments for overlapped frames in the resegmentation step. The overlap detection module achieves state-of-the-art performance on the AMI, DIHARD, and ETAPE corpora. We apply overlap-aware resegmentation on AMI, resulting in a 20% relative DER reduction over the baseline system.

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Authors:
Latané Bullock, Hervé Bredin, Paola Garcia
Submitted On:
13 May 2020 - 10:22pm
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[1] Latané Bullock, Hervé Bredin, Paola Garcia, "ICASSP2020 Overlap-Aware Diarization Poster Presentation", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5196. Accessed: Jul. 03, 2020.
@article{5196-20,
url = {http://sigport.org/5196},
author = {Latané Bullock; Hervé Bredin; Paola Garcia },
publisher = {IEEE SigPort},
title = {ICASSP2020 Overlap-Aware Diarization Poster Presentation},
year = {2020} }
TY - EJOUR
T1 - ICASSP2020 Overlap-Aware Diarization Poster Presentation
AU - Latané Bullock; Hervé Bredin; Paola Garcia
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5196
ER -
Latané Bullock, Hervé Bredin, Paola Garcia. (2020). ICASSP2020 Overlap-Aware Diarization Poster Presentation. IEEE SigPort. http://sigport.org/5196
Latané Bullock, Hervé Bredin, Paola Garcia, 2020. ICASSP2020 Overlap-Aware Diarization Poster Presentation. Available at: http://sigport.org/5196.
Latané Bullock, Hervé Bredin, Paola Garcia. (2020). "ICASSP2020 Overlap-Aware Diarization Poster Presentation." Web.
1. Latané Bullock, Hervé Bredin, Paola Garcia. ICASSP2020 Overlap-Aware Diarization Poster Presentation [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5196

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