2023年4月3日

2023年4月3日,上午9點合成語音開發者。ht也引入了一個新的聲音克隆模式叫做鸚鵡,能deepfake聲音從40秒記錄他們的演講。鸚鵡可以作為遊戲的測試版。ht的語音合成平台,針對內容創建者尋找聲音克隆解決方案。鸚鵡Deepfake玩。ht受到了很多關注,發表了一個虛構的對話已故蘋果創始人史蒂夫•喬布斯(Steve Jobs)和喬·羅根使用其AI-generated聲音克隆和腳本由OpenAI GPT-3大的語言模型。開始其現已不複存在的播客。人工智能顯示,這表明Play.ht提供的合成語音服務。包括集紮克·加利費安納基斯聯袂出演昆汀·塔倫蒂諾和奧普拉采訪共享消除應力技巧。這些聲音依靠玩。 ht’s Peregrine model, which has now been surpassed by the new Parrot model, continuing the bird theme for Play.ht. Parrot was trained on a larger data set and used what the developers learned from Peregrine to update how the training was handled. The synthetic voices are then used to process text as audio. The company claims Parrot is great at doing all kinds of accents, though it can only speak English. That said, Parrot can use the voice clone models of non-English speakers so that they appear to speak English, even keeping their original accent intact. Play.ht emphasizes that its models are more than just voice clones reading out a text. The company boasts that the AI understands the emotion that should be present in a voice based on the context of the whole text and adjusts the speech accordingly. The zero-shot approach of Parrot only requires a short recording, but Play.ht also has a high-fidelity voice clone method that uses about 20 minutes of audio for more comprehensive and nuanced cloning. The audio can be created on Play. ht’s website or embedded as an API in a customer’s product. “Content creators of all kinds (gaming, media production, elearning) spend a lot of time and effort recording and editing high-quality audio. We solve that and make it as simple as writing and editing text. Our users range from individual creators looking to voice their videos, podcasts, etc., to teams at various companies creating dynamic audio content,” Play. ht’s founders explained in a post on Y-Combinator. “. There are many robotic TTS services out there, but ours allows people to generate truly human-level expressive speech and allows anyone to clone voices instantly with strong resemblance. We initially used existing TTS models and APIs but when we started talking to our customers in gaming, media production, and others, people didn’t like the monotone robotic TTS style. So we doubled down in training a new model based on the new emerging architectures using transformers and self-supervised learning.”