I thought to try voice cloning with dots.tts ( https://huggingface.co/spaces/rednote-hilab/dots.tts ), the result is pretty good, but likely wouldn't be fast enough to use on a quasi-realtime basis:

Input clip: https://vocaroo.com/19QtEPtwTjOS

Prompt text: There are 14 varieties of tomato soup available from this replicator. With rice, with vegetables, Bolian style, with pasta specify hot or chilled.

Output: https://vocaroo.com/1f3XuQQoSzwB

I think the request here is not about sounding like Majel Barrett but in keeping the output extremely terse and unobtrusive.

There's been a few studys showing that novices love LLM output that's long, but experts hate it. As an example, I've been tasked with using some agentic PM tool to write specs, and it keeps generating these huge page long outputs with "HBR voice" bolded summaries of paragraph long bulletpoints. I.e.:

> Right-size hard, and watch the one open-ended edge. Endorse the DRI's simplifications wholesale: drop the runbook-per-alert mandate (keep 1–2 diagnostic-only runbooks for the high-priority set), and ride durability on the existing weekly incident + monthly operational reviews — no new governance. The single scope-creep risk is the coverage strand (gaps are defined by absence); bound it to gaps evidenced by real, already-missed customer-facing outages, not a proactive gap hunt. Curing ownership gaps (e.g. foo-bar, no clear owner) is finite in-scope work.

There's dozens of these every iteration. I can't imagine trying to deal with that via voice, I would just zone out after the second sentence.

I'm just going to say, Wow. That's a pretty incredible result. I had no idea you could clone a voice with such a short snippet of audio these days.

I've had this dream of talking to the Enterprise-D computer since I was 8 years old. Midlife-crisis me still has that dream, but hooked up to Home Assistant so it can actually do useful things too. A couple months back, I went looking around for "clean" samples of Majel's voice as the computer but didn't have a lot of luck. Even though there are three television series and several movies, pretty much all of them have some amount of background noise, bleeps, bloops, or warp core thrum. (As this one does.) There may be modern ways to clean those up without affecting her voice much, but I haven't dug into that yet.

There are a few audiobooks narrated by Majel Barrett but obviously her role as the computer was proper voice acting and so the books would not be good source material.

There were also a few games/CD-ROM (Omnipedia) with some samples, but they did not bother to post-process them for that lofi Enterprise-D computer feel. Can _probably_ be replicated fairly faithfully after the fact, but I only know a _little_ about audio post-processing.

According to her son (Rod Roddenberry), Majel sat down in a studio and recorded audio samples specifically for the purpose of having her voice cloned someday for future Star Trek stories. However, those haven't been released publicly. (And likely never will, but I can dream, can't I?)

Edit: I played with your samples and the time it takes to generate the output audio is pretty brutal. Too slow for interactive use. Maybe that's a limitation of the HF-hosted app, though.

That is pretty incredible with such a small amount of input. Makes me want to check out dots.tts myself!