TE
科技回声
首页24小时热榜最新最佳问答展示工作
GitHubTwitter
首页

科技回声

基于 Next.js 构建的科技新闻平台,提供全球科技新闻和讨论内容。

GitHubTwitter

首页

首页最新最佳问答展示工作

资源链接

HackerNews API原版 HackerNewsNext.js

© 2025 科技回声. 版权所有。

Transcriber AI – Free, end-to-end machine based transcription with speaker id

18 点作者 WinH5 个月前

6 条评论

jjbinx0075 个月前
Is there anything like this available to run locally? Our HR dept wants to use something to transcribe interviews but doesn't want to submit data to some random website.
评论 #42430952 未加载
评论 #42432678 未加载
okeysmokey5 个月前
Is this using Whisper or something else? It looks like the site performs multiple steps on the audio and did a decent job of guessing who was speaking.
评论 #42431063 未加载
LunaRoot5 个月前
speaker identification will be the next breakthrough in AI transcription. Correctly identifying speakers greatly improves the end user's perceived quality of the final transcription product.
kerryritter5 个月前
Impressed by how accurately this identified and transcribed. Nice work
评论 #42431673 未加载
sachinjarral1615 个月前
Nice work. Like to learn more about this new technology
sachinjarral1615 个月前
Nice work. AI will enhance this technology