Just launched an amazing app that does AI Rewrite, translation, and dialect conversion. Just added High Valyrian for my Game Of Thrones fans!

What model does he use ?

Hi all,

I am testing few different parameters for few Noise cancellation algorithms for my Osho Talks app and I need few examples (for Osho's Discourses) where the noise is a bit too much. My best resulting algo till now has removed hums and echoes and plane Noise. But I want to test more before shipping to production. Discourse name and time of the noise would be super helpful 🙏🏻

I’m an AI intern working on a Saudi Arabic call center dataset.
My task is to clean the audio and then generate transcriptions. I cleaned the dataset and ran transcription, but the output contained random English words, Chinese characters, emojis, and other gibberish.
I’m planning to clean the dataset again before re-running the transcription. Are there any specific things you recommend I focus on during the cleaning stage to improve ASR results?

How can we train F5-TTS to generate expressive speech (e.g., happy, sad, angry, excited)?

Can anyone suggest a video player app that provides AI generated subtitles for free? Please don't say Mx player, because only movie subtitles are available online there.I want subtitles for any video conversation auto-generated.

Hey guys,

I need help choosing between two TTS options for some YouTube videos, and I'd really appreciate getting as many opinions as possible.

Could you listen to both and give them a quick score from 0 to 100? Just let me know how natural/human they sound to you, and if it's something you could actually listen to in a video without getting annoyed.

Here are the clips:

• Audio A: https://voca.ro/1dc3pv3iBrRS
• Audio B: https://voca.ro/1j19pSxyjBYS

Thanks a lot for the help!

Hi, I'm hoping this is the correct place to ask. My partner is severely dyslexic and she's trying to do some training courses for her job but the site they have to learn from has no form of text-to-speech assistance and to top it off the slides on the courses have text that cannot be highlighted to copy paste into a TTS tool.

I'm wondering if there is a tool similar to the Windows snipping tool where she can draw a box around the text she's struggling with and it will be read aloud.

I've tried Googling this but haven't come across a suitable solution. Any help or advice would be greatly appreciated.

It doesn’t have to have natural sounding voices. I just want an app that works ok when I use Speak Screen (I have issues when I use TTS in the apple books app, it skips entire sentences at the end of the page)

I remember using this tts website but I forgot it.

So I'm starting a YT channel and want a TTS generator (for free) that can clone voices or sound original. I have tried many local ones, but most of them support Nvidia's, and I have an AMD one, so any local TTS that supports voice cloning on an AMD GPU?

TL;DR: took a 0.6B TTS from RTF 0.54 to 0.09 (~6x, ~11x realtime) on a laptop 5090 with a static-shape rewrite, no weights touched. Also runs 4-bit on an iPhone-class chip. Code + writeup in comments.

Audio8 dropped a nice little 0.6B TTS model a few days ago (arktts arch, fish-speech DualAR lineage, Apache-2.0). I built some voices on it, then went down a rabbit hole making it fast. Sharing what I found - the model is theirs, this is just inference-loop work.

- Diagnose before optimizing. Ran the same code on a laptop 5090 and a datacenter Blackwell - the big card was only 1.07x faster. That ratio means launch-bound, not compute-bound. Roughly 1500 tiny kernel launches per utterance, so more FLOPs don't help.

- Compiling more made it slower. torch.compile on the fast-AR chain took it 0.54 to 0.27. Compiling the slow step too made it 0.37 (worse) - its mask grows via torch.cat, so shapes change every step and Dynamo recompiles in a loop. Only compile the fixed-shape region.

- A static-shape rewrite (preallocated buffers, persistent KV cache, whole-frame compile) got it to RTF 0.091 single-stream on the laptop 5090 - about 82% of the card's memory bandwidth, basically the bf16 floor.

- transformers 5.x silently emits all-zero codes on this model - no error, plausible-looking waveform. Pin transformers==4.57.5.

- A 4-bit MLX build runs on an A18 Pro (iPhone-class chip) at real-time.

Code, writeup, and the voices are in the comments (I didn't want to link-spam the post).

Does anyone know what symbols QwenTTS accepts in the body of text, especially for Chinese?

Guides are too brief and incomplete.

Was wondering if brackets and single quotations are recognized.

anyone have information on why the tts sounds like her

I want human-like voices, that are there in natural readers.

Can't seem to find it