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"

7 / 7 papers shown

Title
ZeroQuant-V2: Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation Z. Yao Xiaoxia Wu Cheng-rong Li Stephen Youn Yuxiong He MQ 63 57 0 15 Mar 2023
DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for Layer Fusion in DNN Accelerators Sheng-Chun Kao Xiaoyu Huang T. Krishna AI4CE 22 9 0 26 Jan 2022
Overlap-aware low-latency online speaker diarization based on end-to-end local segmentation Juan Manuel Coria H. Bredin Sahar Ghannay Sophie Rosset 41 30 0 14 Sep 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 139 684 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 269 324 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 208 198 0 29 Dec 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 183 310 0 04 Nov 2019