An approach to optimize inference of the DIART speaker diarization pipeline

5 August 2024

Papers citing "An approach to optimize inference of the DIART speaker diarization pipeline"

15 / 15 papers shown

Title
Knowledge Distillation via the Target-aware Transformer Sihao Lin Hongwei Xie Bing Wang Kaicheng Yu Xiaojun Chang Xiaodan Liang G. Wang ViT 65 107 0 22 May 2022
DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for Layer Fusion in DNN Accelerators Sheng-Chun Kao Xiaoyu Huang T. Krishna AI4CE 87 9 0 26 Jan 2022
Knowledge Distillation from BERT Transformer to Speech Transformer for Intent Classification Yiding Jiang Bidisha Sharma Maulik C. Madhavi Haizhou Li 77 26 0 05 Aug 2021
Compact CNN Structure Learning by Knowledge Distillation Waqar Ahmed Andrea Zunino Pietro Morerio Vittorio Murino 115 5 0 19 Apr 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 314 725 0 31 Jan 2021
A Review of Speaker Diarization: Recent Advances with Deep Learning Tae Jin Park Naoyuki Kanda Dimitrios Dimitriadis Kyu Jeong Han Shinji Watanabe Shrikanth Narayanan VLM 355 337 0 24 Jan 2021
Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: theory, implementation and analysis on standard tasks Federico Landini Jan Profant Mireia Díez L. Burget 266 209 0 29 Dec 2020
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning Xuebo Liu Longyue Wang Derek F. Wong Liang Ding Lidia S. Chao Zhaopeng Tu AI4CE 57 35 0 29 Dec 2020
Spot the conversation: speaker diarisation in the wild Joon Son Chung Jaesung Huh Arsha Nagrani Triantafyllos Afouras Andrew Zisserman VGen 78 150 0 02 Jul 2020
pyannote.audio: neural building blocks for speaker diarization H. Bredin Ruiqing Yin Juan Manuel Coria G. Gelly Pavel Korshunov Marvin Lavechin D. Fustes Hadrien Titeux Wassim Bouaziz Marie-Philippe Gill 239 326 0 04 Nov 2019
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 38 1,475 0 11 Oct 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 164 3,143 0 15 Dec 2017
Fixed Point Quantization of Deep Convolutional Networks D. Lin S. Talathi V. Annapureddy MQ 104 816 0 19 Nov 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 316 6,709 0 08 Jun 2015
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 322 3,899 0 19 Dec 2014