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。

Bach to the Future – Humanising Music with Neural Nets (2019)

52 点作者 ash超过 2 年前

4 条评论

fxtentacle超过 2 年前
TLDR: They use a small LSTM model to predict the velocity and delay that a human player might have for each piano keypress based on the MIDI notes.
评论 #34230640 未加载
2devnull超过 2 年前
Coolest thing I’ve read this year, acknowledging it’s from a few years back. A number of interesting lessons, in terms of both machine learning and music.<p>I hope we don’t replace human performers, even if and when we can. Live performance rather than recordings needs to be prioritized by listeners. And acoustic, non-autotuned only!
AstixAndBelix超过 2 年前
Do you really need or want a NN for this?<p>Wouldn&#x27;t it be better to parametrize the agility of the various fingers, wrist and arms and then use a deterministic algorithm with a sprinkle of randomness to calculate how delayed the various notes are? This way you could even simulate someone getting tired throughout the performance!
评论 #34231384 未加载
评论 #34232022 未加载
评论 #34231253 未加载
chank超过 2 年前
&gt; Bach to the Future – Humanising Music with Neural Nets<p>Poor taste in title, IMO.
评论 #34233610 未加载