From 256ec31d21150a732de9583e7699fe9f916cdc5f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Dominik=20Mach=C3=A1=C4=8Dek?= Date: Wed, 29 Nov 2023 10:14:30 +0100 Subject: [PATCH] bibtex and proceedings link --- README.md | 17 ++++++++++++++++- 1 file changed, 16 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 265892c..518c798 100644 --- a/README.md +++ b/README.md @@ -8,12 +8,27 @@ Demonstration paper, by Dominik Macháček, Raj Dabre, Ondřej Bojar, 2023 Abstract: Whisper is one of the recent state-of-the-art multilingual speech recognition and translation models, however, it is not designed for real time transcription. In this paper, we build on top of Whisper and create Whisper-Streaming, an implementation of real-time speech transcription and translation of Whisper-like models. Whisper-Streaming uses local agreement policy with self-adaptive latency to enable streaming transcription. We show that Whisper-Streaming achieves high quality and 3.3 seconds latency on unsegmented long-form speech transcription test set, and we demonstrate its robustness and practical usability as a component in live transcription service at a multilingual conference. -Pre-print: https://arxiv.org/abs/2307.14743 +Paper in proceedings: http://www.afnlp.org/conferences/ijcnlp2023/proceedings/main-demo/cdrom/pdf/2023.ijcnlp-demo.3.pdf Demo video: https://player.vimeo.com/video/840442741 [Slides](http://ufallab.ms.mff.cuni.cz/~machacek/pre-prints/AACL23-2.11.2023-Turning-Whisper-oral.pdf) -- 15 minutes oral presentation at IJCNLP-AACL 2023 +Please, cite us. [Bibtex citation](http://www.afnlp.org/conferences/ijcnlp2023/proceedings/main-demo/cdrom/bib/2023.ijcnlp-demo.3.bib): + +``` +@InProceedings{machacek-dabre-bojar:2023:ijcnlp, + author = {Macháček, Dominik and Dabre, Raj and Bojar, Ondřej}, + title = {Turning Whisper into Real-Time Transcription System}, + booktitle = {System Demonstrations}, + month = {November}, + year = {2023}, + address = {Bali, Indonesia}, + publisher = {Asian Federation of Natural Language Processing}, + pages = {17--24}, +} +``` + ## Installation 1) ``pip install librosa`` -- audio processing library