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EditYourself: Transcript-driven talking head editing; - speech insertion, removal, and retiming; - built on LTX-0.9.7, yeah not LTX2; - preserves identity ; trained on 475 hours of HQ clips; supports up to 2.0MP.

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Wildminder

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14,451 просмотров • 7 месяцев назад •via X (Twitter)

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Introducing Parrot 🦜 Our first speech-to-text model built for production-grade voice agents with an industry leading accuracy, built for noisy calls, regional dialects and compressed audio. Trained on thousands of hours of real-world audio to make sure when you say Udaipur, the agent doesn't hear 'you-die-poor'.
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Introducing Parrot 🦜 Our first speech-to-text model built for production-grade voice agents with an industry leading accuracy, built for noisy calls, regional dialects and compressed audio. Trained on thousands of hours of real-world audio to make sure when you say Udaipur, the agent doesn't hear 'you-die-poor'.

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Introducing Universal-1: Our most powerful and accurate Speech AI model yet. ✅ Trained on 12.5M hours of multilingual speech data ✅ 13.5% more accurate than models like Whisper ✅ Up to 30% fewer hallucinations than seq2seq models ✅ Just 38 seconds to process 1 hour of audio
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Introducing Universal-1: Our most powerful and accurate Speech AI model yet. ✅ Trained on 12.5M hours of multilingual speech data ✅ 13.5% more accurate than models like Whisper ✅ Up to 30% fewer hallucinations than seq2seq models ✅ Just 38 seconds to process 1 hour of audio

AssemblyAI

23,511,312 просмотров • 2 лет назад

Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale blog: Large-scale generative models such as GPT and DALL-E have revolutionized natural language processing and computer vision research. These models not only generate high fidelity text or image outputs, but are also generalists which can solve tasks not explicitly taught. In contrast, speech generative models are still primitive in terms of scale and task generalization. In this paper, we present Voicebox, the most versatile text-guided generative model for speech at scale. Voicebox is a non-autoregressive flow-matching model trained to infill speech, given audio context and text, trained on over 50K hours of speech that are neither filtered nor enhanced. Similar to GPT, Voicebox can perform many different tasks through in-context learning, but is more flexible as it can also condition on future context. Voicebox can be used for mono or cross-lingual zero-shot text-to-speech synthesis, noise removal, content editing, style conversion, and diverse sample generation. In particular, Voicebox outperforms the state-of-the-art zero-shot TTS model VALL-E on both intelligibility (5.9% vs 1.9% word error rates) and audio similarity (0.580 vs 0.681) while being up to 20 times faster.
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Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale blog: Large-scale generative models such as GPT and DALL-E have revolutionized natural language processing and computer vision research. These models not only generate high fidelity text or image outputs, but are also generalists which can solve tasks not explicitly taught. In contrast, speech generative models are still primitive in terms of scale and task generalization. In this paper, we present Voicebox, the most versatile text-guided generative model for speech at scale. Voicebox is a non-autoregressive flow-matching model trained to infill speech, given audio context and text, trained on over 50K hours of speech that are neither filtered nor enhanced. Similar to GPT, Voicebox can perform many different tasks through in-context learning, but is more flexible as it can also condition on future context. Voicebox can be used for mono or cross-lingual zero-shot text-to-speech synthesis, noise removal, content editing, style conversion, and diverse sample generation. In particular, Voicebox outperforms the state-of-the-art zero-shot TTS model VALL-E on both intelligibility (5.9% vs 1.9% word error rates) and audio similarity (0.580 vs 0.681) while being up to 20 times faster.

AK

429,355 просмотров • 3 лет назад

Clemens: He was not just golfing, he was working the entire three hours on the golf course. He was answering phone calls, talking to head of states Cain: And hitting all the fairways Clemens: Every fairway but one, he missed it by 6 inches.
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Clemens: He was not just golfing, he was working the entire three hours on the golf course. He was answering phone calls, talking to head of states Cain: And hitting all the fairways Clemens: Every fairway but one, he missed it by 6 inches.

Acyn

540,127 просмотров • 1 год назад

I coded a Speech-to-Text model from scratch. 𝐇𝐞𝐫𝐞 𝐢𝐬 𝐭𝐡𝐞 𝐛𝐥𝐨𝐠 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞: No APIs. No pre-trained models. Just PyTorch, an A100 GPU, and hours of debugging. This started months ago. I wanted to understand how machines hear. Not surface-level understanding. I wanted to build the whole thing myself. So I built it piece by piece: autoencoders, VAEs, VQ-VAEs, Residual Vector Quantization, and CTC loss. Each one took days to get right. Trained for 3 hours on 13,100 audio clips. Got complete garbage. Changed the tokenizer from BPE to character-level. Rechecked everything. Asked AVB who built STT models before. His answer: these models are tricky to train and need days of compute, not hours. Cut the dataset to 200 clips. After 2 hours, actual words appeared. Overfitted? Absolutely. But watching noise turn into recognizable English was satisfying. I have made a blog about this as well so you can learn about the same and my process - Audio fundamentals and waveform representation - Why attention breaks on raw audio - Convolutional downsampling - Transformer encoder with positional encoding - Vector Quantization, straight-through estimator, and RVQ - CTC loss and greedy decoding - Full training loop with VQ loss warmup - What went wrong and what finally worked Resources: - Blog: - Code: More Resoures CTC loss AVB videos SoundStream Paper LJ speech dataset wav2vec paper RVQ blog Next up: I've already trained two TTS architectures from scratch. Video post about those coming soon. But first, I'm dropping a visual breakdown of Vision Transformers, covering how they work and how to fine-tune them. Follow me Mayank Pratap Singh you're into audio deep learning. Repost so others can find this
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I coded a Speech-to-Text model from scratch. 𝐇𝐞𝐫𝐞 𝐢𝐬 𝐭𝐡𝐞 𝐛𝐥𝐨𝐠 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞: No APIs. No pre-trained models. Just PyTorch, an A100 GPU, and hours of debugging. This started months ago. I wanted to understand how machines hear. Not surface-level understanding. I wanted to build the whole thing myself. So I built it piece by piece: autoencoders, VAEs, VQ-VAEs, Residual Vector Quantization, and CTC loss. Each one took days to get right. Trained for 3 hours on 13,100 audio clips. Got complete garbage. Changed the tokenizer from BPE to character-level. Rechecked everything. Asked AVB who built STT models before. His answer: these models are tricky to train and need days of compute, not hours. Cut the dataset to 200 clips. After 2 hours, actual words appeared. Overfitted? Absolutely. But watching noise turn into recognizable English was satisfying. I have made a blog about this as well so you can learn about the same and my process - Audio fundamentals and waveform representation - Why attention breaks on raw audio - Convolutional downsampling - Transformer encoder with positional encoding - Vector Quantization, straight-through estimator, and RVQ - CTC loss and greedy decoding - Full training loop with VQ loss warmup - What went wrong and what finally worked Resources: - Blog: - Code: More Resoures CTC loss AVB videos SoundStream Paper LJ speech dataset wav2vec paper RVQ blog Next up: I've already trained two TTS architectures from scratch. Video post about those coming soon. But first, I'm dropping a visual breakdown of Vision Transformers, covering how they work and how to fine-tune them. Follow me Mayank Pratap Singh you're into audio deep learning. Repost so others can find this

Mayank Pratap Singh

51,382 просмотров • 6 месяцев назад

How does the YC Office Hours Simulator work? 1. Walk up to a booth and press "start simulation" 2. Get randomly matched with an AI YC partner. They know who you are and what you're working on (based on your application) 3. Talk about whatever's on your mind. Each Partner is trained on hundreds of hours of how they normally run their Office Hours (video features AI Jon Xu. photo features AI Garry Tan) That's it! Built by Jared Friedman and the Y Combinator Software Team for #StartupSchool 👏 Sumanyu Sharma 🍫 brryant Sidney Primas
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How does the YC Office Hours Simulator work? 1. Walk up to a booth and press "start simulation" 2. Get randomly matched with an AI YC partner. They know who you are and what you're working on (based on your application) 3. Talk about whatever's on your mind. Each Partner is trained on hundreds of hours of how they normally run their Office Hours (video features AI Jon Xu. photo features AI Garry Tan) That's it! Built by Jared Friedman and the Y Combinator Software Team for #StartupSchool 👏 Sumanyu Sharma 🍫 brryant Sidney Primas

LemonSlice

28,333 просмотров • 1 месяц назад

NEW: Higgs Audio V2 from BosonAI open, unified TTS model w/ voice cloning, beats GPT 4o mini tts and ElevenLabs v2 🔥 > Trained on 10M hours (speech, music, events) > Built on top of Llama 3.2 3B > Works real-time and on edge > Beats GPT-4o-mini-tts, ElevenLabs v2 in prosody & emotion Multi-speaker dialog > Zero-shot voice cloning 🤩 > Available on Hugging Face Kudos to folks at Boson AI for releasing such a brilliant work and all the details around the model! 🤗
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NEW: Higgs Audio V2 from BosonAI open, unified TTS model w/ voice cloning, beats GPT 4o mini tts and ElevenLabs v2 🔥 > Trained on 10M hours (speech, music, events) > Built on top of Llama 3.2 3B > Works real-time and on edge > Beats GPT-4o-mini-tts, ElevenLabs v2 in prosody & emotion Multi-speaker dialog > Zero-shot voice cloning 🤩 > Available on Hugging Face Kudos to folks at Boson AI for releasing such a brilliant work and all the details around the model! 🤗

Vaibhav (VB) Srivastav

79,645 просмотров • 1 год назад

🇮🇱🇺🇸Israel’s Knesset Member Avi Maoz, head of the "Noam" party calls for removal of U.S flags while congress members openly display Israel’s flag. “I call on whoever hung the flags up the road to Jerusalem to remove the American flags. The State of Israel is a sovereign and independent state, not a protectorate.”
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🇮🇱🇺🇸Israel’s Knesset Member Avi Maoz, head of the "Noam" party calls for removal of U.S flags while congress members openly display Israel’s flag. “I call on whoever hung the flags up the road to Jerusalem to remove the American flags. The State of Israel is a sovereign and independent state, not a protectorate.”

Suppressed News.

49,498 просмотров • 5 месяцев назад

NEW: Illinois head coach Bret Bielema to On3's Andy Staples: “I coach my coaches, but I'm not involved in a lot of game plan things, but personnel, I'm heavily involved in, and really the distribution and allocation of our money... Our building is set up on retention, removal, and acquisition. That's exactly what we are, very similar to the NFL.”
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NEW: Illinois head coach Bret Bielema to On3's Andy Staples: “I coach my coaches, but I'm not involved in a lot of game plan things, but personnel, I'm heavily involved in, and really the distribution and allocation of our money... Our building is set up on retention, removal, and acquisition. That's exactly what we are, very similar to the NFL.”

On3

293,508 просмотров • 7 месяцев назад

Still wrapping my head around it—Joe Rogan just mentioned me on the latest The Joe Rogan Experience Clips episode with Mark Zuckerberg. Two of the biggest names out there talking health and optimization, and my name came up? Honored doesn’t even begin to describe it. 2025 is the year we’re all leveling up— Mark Zuckerberg, you’re next. Let’s get after it.
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Still wrapping my head around it—Joe Rogan just mentioned me on the latest The Joe Rogan Experience Clips episode with Mark Zuckerberg. Two of the biggest names out there talking health and optimization, and my name came up? Honored doesn’t even begin to describe it. 2025 is the year we’re all leveling up— Mark Zuckerberg, you’re next. Let’s get after it.

Gary Brecka

89,655 просмотров • 1 год назад

Most AI products added voice by wrapping a chatbot in speech-to-text. Vellum built a real-time voice loop on top of a full agent. It browses the web, reads your files, runs code, and sends messages while you’re still talking. This is voice as a real surface for an agent. Not a voice chatbot.
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Most AI products added voice by wrapping a chatbot in speech-to-text. Vellum built a real-time voice loop on top of a full agent. It browses the web, reads your files, runs code, and sends messages while you’re still talking. This is voice as a real surface for an agent. Not a voice chatbot.

Kyronis

112,849 просмотров • 1 месяц назад

This is unreal. The new Japanese PM just told an audience of Saudi investors, quoting from a manga: "Just shut your mouths and invest everything in me!!!" Even worse, in said manga - "Attack on Titan" - the character saying that line (Eren Yeager: ends up dying while attempting to kill all of humanity outside his island nation ("Paradis Island"). Not exactly a great character to emulate when you're Japan - an island nation with a long history of imperial expansion and atrocities. Very awkward and disturbing on multiple levels... Official transcript of the speech on the PM's website:
0:41

This is unreal. The new Japanese PM just told an audience of Saudi investors, quoting from a manga: "Just shut your mouths and invest everything in me!!!" Even worse, in said manga - "Attack on Titan" - the character saying that line (Eren Yeager: ends up dying while attempting to kill all of humanity outside his island nation ("Paradis Island"). Not exactly a great character to emulate when you're Japan - an island nation with a long history of imperial expansion and atrocities. Very awkward and disturbing on multiple levels... Official transcript of the speech on the PM's website:

Arnaud Bertrand

2,433,613 просмотров • 9 месяцев назад

Sarvam Beats GPT-4o: India’s New AI Model Claims Top Spot in Indic Speech Sarvam AI, an Indian startup, recently launched Sarvam Audio, a speech recognition model that claims superior performance over GPT-4o Transcribe on Indic language benchmarks. This development highlights India's push for AI sovereignty in handling local linguistic nuances. Sarvam Audio supports 22 Indian languages from the Eighth Schedule, plus Indian English, with strong handling of code-mixing like Hindi-English blends. It features built-in speaker diarization for up to eight speakers and processes long-form audio such as podcasts or meetings. Trained on the IndicVoices dataset 12,000 hours from over 16,000 speakers across 208 districts it captures real-world noise and spontaneous speech. The model reportedly outperforms GPT-4o Transcribe and Gemini 3 Flash in transcription accuracy (lower Word Error Rate) on IndicVoices benchmarks for unnormalized, normalized, and code-mixed speech. Sarvam attributes this to specialization on Indian accents and patterns, unlike global models trained on Western data. Detailed public benchmarks are pending independent verification. Key Applications 🔴 Call centers and logistics for multilingual transcription. 🔴 Banking, fintech, and e-commerce for customer interactions. 🔴 Podcasts, meetings, and lectures via API for real-time or batch processing. ​ 🔴 This B2B-focused tool aligns with India's IndiaAI Mission, backed by government GPU access for sovereign LLMs. Credit : AIM Networks.
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Sarvam Beats GPT-4o: India’s New AI Model Claims Top Spot in Indic Speech Sarvam AI, an Indian startup, recently launched Sarvam Audio, a speech recognition model that claims superior performance over GPT-4o Transcribe on Indic language benchmarks. This development highlights India's push for AI sovereignty in handling local linguistic nuances. Sarvam Audio supports 22 Indian languages from the Eighth Schedule, plus Indian English, with strong handling of code-mixing like Hindi-English blends. It features built-in speaker diarization for up to eight speakers and processes long-form audio such as podcasts or meetings. Trained on the IndicVoices dataset 12,000 hours from over 16,000 speakers across 208 districts it captures real-world noise and spontaneous speech. The model reportedly outperforms GPT-4o Transcribe and Gemini 3 Flash in transcription accuracy (lower Word Error Rate) on IndicVoices benchmarks for unnormalized, normalized, and code-mixed speech. Sarvam attributes this to specialization on Indian accents and patterns, unlike global models trained on Western data. Detailed public benchmarks are pending independent verification. Key Applications 🔴 Call centers and logistics for multilingual transcription. 🔴 Banking, fintech, and e-commerce for customer interactions. 🔴 Podcasts, meetings, and lectures via API for real-time or batch processing. ​ 🔴 This B2B-focused tool aligns with India's IndiaAI Mission, backed by government GPU access for sovereign LLMs. Credit : AIM Networks.

Augadh

43,429 просмотров • 7 месяцев назад

WAIT so not only does Rex move around in the cockpit it also looks like Rex might be tracking your target in the replay if they're on your screen or in front of your plane as well!?!? I tried to sync up clips between gameplay and replay to review! Yeah AC8 might just be too cool
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WAIT so not only does Rex move around in the cockpit it also looks like Rex might be tracking your target in the replay if they're on your screen or in front of your plane as well!?!? I tried to sync up clips between gameplay and replay to review! Yeah AC8 might just be too cool

Super Louis 64 ⚒️

82,770 просмотров • 3 месяцев назад

Once again, YouTube has cracked down on our free speech. Our second channel (Eon Clips has been demonitised. Alhamdulillah, we had built an audience of 200k in under a year, but our constant coverage on Palestine was unacceptable to our 'enlightened' western masters! It is quite clear that any sort of coverage of the Global South's perspective on geopolitics, conflicts, and economics is not worth adding to the discourse according to our Western gatekeepers!!! We stand in protest against this stifling of our platform and request the support of all who stand with free speech, free expression, and Palestine to help combat this censorship. For subscriptions, visit our website Contact Us for the course details 📱+92 303 4444 638 YouTube TeamYouTube YouTubeCreators Google
1:22

Once again, YouTube has cracked down on our free speech. Our second channel (Eon Clips has been demonitised. Alhamdulillah, we had built an audience of 200k in under a year, but our constant coverage on Palestine was unacceptable to our 'enlightened' western masters! It is quite clear that any sort of coverage of the Global South's perspective on geopolitics, conflicts, and economics is not worth adding to the discourse according to our Western gatekeepers!!! We stand in protest against this stifling of our platform and request the support of all who stand with free speech, free expression, and Palestine to help combat this censorship. For subscriptions, visit our website Contact Us for the course details 📱+92 303 4444 638 YouTube TeamYouTube YouTubeCreators Google

Eon Podcast

26,797 просмотров • 1 год назад

sehun talking about climbing hallasan mountain on his birthday 🧡⛰️ jongin: do you think anyone’s actually climbed all the way up there? chanyeol: of course! junmyeon: sehunnie~ chanyeol: *points at sehun* jongin: you’ve been up there? sehun: yeah! jongin: all the way to the top? sehun: yeah! jongin: why? sehun: all the way to the top, baekrokdam (the crater lake at the top of hallasan)! i went on my birthday! i set off right at 5am~ jongin: really? how long did it take? sehun: about 8 and a half hours? jongin: seriously?! chanyeol: ah, i don’t think i could even walk for 8 and a half hours on flat ground~ jongin: you didn’t take breaks? sehun: i did, i took lots of breaks along the way~ chanyeol: you can’t do it without taking breaks~ sehun: yeah~
0:23

sehun talking about climbing hallasan mountain on his birthday 🧡⛰️ jongin: do you think anyone’s actually climbed all the way up there? chanyeol: of course! junmyeon: sehunnie~ chanyeol: *points at sehun* jongin: you’ve been up there? sehun: yeah! jongin: all the way to the top? sehun: yeah! jongin: why? sehun: all the way to the top, baekrokdam (the crater lake at the top of hallasan)! i went on my birthday! i set off right at 5am~ jongin: really? how long did it take? sehun: about 8 and a half hours? jongin: seriously?! chanyeol: ah, i don’t think i could even walk for 8 and a half hours on flat ground~ jongin: you didn’t take breaks? sehun: i did, i took lots of breaks along the way~ chanyeol: you can’t do it without taking breaks~ sehun: yeah~

🌸 사랑둥이 귀염둥이 세훈이 🌸

27,046 просмотров • 6 месяцев назад

‼️Candace Owens DESTROYS Erika Kirk’s Empty “Christianese” SPEECH At Make Heaven Crowded Tour🤪👀 Candace just went scorched earth on Erika’s latest performance at a Turning Point Faith event in Washington state. After playing clips of the pastor in ripped jeans warning against “conspiracy theories” and “vitriolic Jew haters,” Candace called the whole thing what it is: a faith grift dressed up as church. Then she turned to Erika’s speech — vague, circular, and dripping in empty Christianese. Lines about being “heaven focused,” carrying crosses, and not giving up because “my kids are watching me” while reading off an iPad and collecting standing ovations for saying almost nothing. Candace compared it to the Kamala Harris campaign: institutional power trying to force someone into a role they would never earn on pure merit, relying on emotion and tragedy instead of substance. Charlie was the opposite — sharp, specific, and capable of going hours without a script. This, she said, is the opposite of what he built. FOLLOW Candace Owens , RT and watch her FULL episode linked below.
8:45

‼️Candace Owens DESTROYS Erika Kirk’s Empty “Christianese” SPEECH At Make Heaven Crowded Tour🤪👀 Candace just went scorched earth on Erika’s latest performance at a Turning Point Faith event in Washington state. After playing clips of the pastor in ripped jeans warning against “conspiracy theories” and “vitriolic Jew haters,” Candace called the whole thing what it is: a faith grift dressed up as church. Then she turned to Erika’s speech — vague, circular, and dripping in empty Christianese. Lines about being “heaven focused,” carrying crosses, and not giving up because “my kids are watching me” while reading off an iPad and collecting standing ovations for saying almost nothing. Candace compared it to the Kamala Harris campaign: institutional power trying to force someone into a role they would never earn on pure merit, relying on emotion and tragedy instead of substance. Charlie was the opposite — sharp, specific, and capable of going hours without a script. This, she said, is the opposite of what he built. FOLLOW Candace Owens , RT and watch her FULL episode linked below.

Project Constitution

15,184 просмотров • 1 месяц назад

I'm giving up on remote work I know this is controversial. But I tried it for 5 years. I built close to 30 different small teams. The ones that perform best are not remote. Media-driven companies simply need to be in the office. You can't remote work a great piece of content. Creativity needs back and forth. It needs building up on top of each other's ideas. You can't do that on Zoom. So for every entrepreneur out there thinking of hiring a team....get an office!
1:28

I'm giving up on remote work I know this is controversial. But I tried it for 5 years. I built close to 30 different small teams. The ones that perform best are not remote. Media-driven companies simply need to be in the office. You can't remote work a great piece of content. Creativity needs back and forth. It needs building up on top of each other's ideas. You can't do that on Zoom. So for every entrepreneur out there thinking of hiring a team....get an office!

Nuseir Yassin

39,001 просмотров • 7 месяцев назад