From c1b821a08d290f4d4f3d92e8ddb934e27121f0fc Mon Sep 17 00:00:00 2001 From: Max Bain <36994049+m-bain@users.noreply.github.com> Date: Thu, 5 Oct 2023 15:14:29 -0700 Subject: [PATCH] fix list markdown --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 27cbe4b..b44a6fe 100644 --- a/README.md +++ b/README.md @@ -53,7 +53,8 @@ This repository provides fast automatic speech recognition (70x realtime with la **Speaker Diarization** is the process of partitioning an audio stream containing human speech into homogeneous segments according to the identity of each speaker.

New🚨

-- 1st place at [Ego4d transcription challenge](https://eval.ai/web/challenges/challenge-page/1637/leaderboard/3931/WER) + +- 1st place at [Ego4d transcription challenge](https://eval.ai/web/challenges/challenge-page/1637/leaderboard/3931/WER) 🏆 - _WhisperX_ accepted at INTERSPEECH 2023 - v3 transcript segment-per-sentence: using nltk sent_tokenize for better subtitlting & better diarization - v3 released, 70x speed-up open-sourced. Using batched whisper with [faster-whisper](https://github.com/guillaumekln/faster-whisper) backend!