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News Microsoft VALL-E emulates only 3-second speech sounds Pierpaolo Figuccia January 11, 2023 0 After 3 seconds, artificial intelligence cannot help you to imitate your voice perfectly. This
After 3 seconds, artificial intelligence cannot help you to imitate your voice perfectly. This is the ultimate task for Microsoft’s AI: the VALL-E vocalization model can replicate the voice in one place in just 3 seconds of speech.
In DALL·E Nato, specializing in sound, syntesi sound effect and a large number of popular releases online.
Some users say the result will be incredible if VALL·E and ChatGPT are combined. For another thing, there is often no possible way to communicate with AI via video. In addition to writings and pictures, these articles also highlight artificial intelligence in the near and immediate environment.
Imitating a “silent” sound to VALL·E within 3 seconds?
Audio analysis with the VALL-E language model. Discorso basato suoni dell’IA “non ascoltati”, ovvero l’apprendimento a campione zero.
The solution to traditional voice synthesis is basically a editing mode before insieme and una fine regulation. If used in a single scenario in the zero camp, it rises in a scanning analogy and the naturalness of the discourse produced.
Zionist foundation, VALL-E and nato dal null developed various rispetto ideas in traditional voiceover model.
Respecting the traditional model that uses the Mel spectrum to extract features, VALL-E considers sound synthesis directly as the task of the linguistic model, the first being continuous and the second discrete.
In particular, the traditional sound synthesis process is generally the “phoneme → mel-spectrogram (mel-spectrogram) → waveform” path.
Ma VALL·-E ha trasformato questo process in “phonema→codifica audio discreta→forma d’onda”:
VALL-E is also similar to VQVAE in terms of model design. Measure the sound in a separate marker string. The first quantizer is responsible for acquiring the characteristics of the audio content and the speaker’s identity, while the second quantizer is responsible for improving the signal. che suona più naturale:
Then conditioned by text and prompt within 3 seconds, this system emits a separate audio code in autoregressive mode:
VALL-E also supports vocal editing and creation of vocal content in conjunction with GPT-3, with vocal creation from scratch, not solo.
VALL-E is an everyday effective tone for softening vocal tones.
It supports a variety of not only tone but also a different polishing speed. For example, it deals with two different speech rates provided by VALL-E when the same phrase is pronounced twice, but still has high timbre similarity:
All the high tempo, the tone of the voice of the interlocutor is very important so that the ambient temperature accelerates the rest.
In addition, VALL-E can mimic a variety of mood states, including sleep, asson, neutrality, nausea, and various types of nausea.
It is worth remembering that the set has not previously been used specifically for non-ampiomatic VALL·E formation.
Compared to OpenAI’s Whisper, which required 680,000 hours of auditory training and only used over 7,000 interlocutors and 60,000 hours of training, VALL-E outperformed pre-trained voice synthesis in terms of similarity to the YourTTS vocal synthesis model.
Also, YourTTS pre-listened to 97 of the 108 speakers during the training, but still is inferior to the VALL-E in real and convenient testing.
For a lot of security and camping that can be basically applied:
It’s better not to speak alone than to use it to imitate your own voice, and it disables a full conversation with another conversation, but you can use it during a conversation before you speak. Naturally, you can use it for sound library recording.
However, VALL-E is still not open source and may take some time to try.
Source: T Today
I’m Sandra Torres, a passionate journalist and content creator. My specialty lies in covering the latest gadgets, trends and tech news for Div Bracket. With over 5 years of experience as a professional writer, I have built up an impressive portfolio of published works that showcase my expertise in this field.
