From b3647da0875f9f4f5d2e57b0a57efdc1cf5cfa10 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Dominik=20Mach=C3=A1=C4=8Dek?= Date: Fri, 29 Mar 2024 09:19:59 +0100 Subject: [PATCH] Update README.md PDF link --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 16d3a23..11cc555 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,9 @@ 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. -Paper in proceedings: http://www.afnlp.org/conferences/ijcnlp2023/proceedings/main-demo/cdrom/pdf/2023.ijcnlp-demo.3.pdf +Paper PDF: +https://aclanthology.org/2023.ijcnlp-demo.3.pdf + Demo video: https://player.vimeo.com/video/840442741