Alternatives
Products that do what Hyper-Emotional AI Voice Acting for Anime and Movies does
Hi HN, I’m using AI video generation to create anime and movies, but AI dubbing has been a major challenge. Most AI voices sound too flat and lack the emotional depth needed for voice acting, where dramatic expression is very important. That’s why I’m building this voice acting AI that lets you not only choose a voice but also control its emotion. In the Auto Emotion mode, you can include emotion hints in parenthesis to guide the speech generation. It’s still an early demo, but I’d love for you to try it out and share your feedback!
- 1
- 2
- 3
- 4
- 5IR
Hey HN, this is Lina, Andrew, and Sidney from Infinity AI (https://infinity.ai/). We've trained our own foundation video model focused on people. As far as we know, this is the first time someone has trained a video diffusion transformer that’s driven by audio input. This is cool because it allows for expressive, realistic-looking characters that actually speak. Here’s a blog with a bunch of examples: https://toinfinityai.github.io/v2-launch-page/ If you want to try it out, you can either (1) go to https://studio.infinity.ai/try-inf2, or (2)…
2024
- 6AD
Hey HN! I love watching YouTube with my 7-year-old daughter. Unfortunately, the best stuff is often in English (we're German). So I made an AI tool that translates videos directly, using the original voices. All other sounds, as well as background music, are preserved, too. Turns out that it works for many other language pairs, too. So far, it can create dubs in English, Mandarin Chinese, Spanish, Arabic, French, Russian, German, Italian, Korean, Polish and Dutch. The main challenge in building this was to get the balance right between translating the original meaning and getting the timing…
2024 · speakz.ai
- 7
- 8
- 9
- 10
- 11
- 12
- 13
- 14
- 15
- 16
- 17
- 18
- 19
- 20
- 21
- 22
- 23
AI voice agents that adapt tone, timing & emotion by context
Mar 2026 · elevenlabs.io
- 24RT
Hi HN -- voice chat with AI is very popular these days, especially with YC startups (https://twitter.com/k7agar/status/1769078697661804795). The current approaches all do a cascaded approach, with audio -> transcription -> language model -> text synthesis. This approach is easy to get started with, but requires lots of complexity and has a few glaring limitations. Most notably, transcription is slow, is lossy and any error propagates to the rest of the system, cannot capture emotional affect, is often not robust to code-switching/accents, and more. Instead, what…
2024 · demo.tincans.ai
Ranked by how close each launch is in meaning, then by votes. Refine with a description →