What is recorded here?
Trained a non-autoregressive flow-matching model to infill speech from transcript and surrounding audio, enabling multiple synthesis and editing tasks through contextual conditioning.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Flow Matching is inherited; the contribution is the scalable speech-infilling system. The original release supplied a paper and demonstrations, rather than public model weights or code. Voice imitation requires consent and safeguards against impersonation.
Read the original work
- Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
- Le et al.: Voicebox flow-matching speech infilling — institutional/author source
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Matthew Le; Apoorv Vyas; Bowen Shi; Brian Karrer; Leda Sari; Rashel Moritz; Mary Williamson; Vimal Manohar; Yossi Adi; Jay Mahadeokar; Wei-Ning Hsu
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Le et al.: Voicebox flow-matching speech infilling
Trained a non-autoregressive flow-matching model to infill speech from transcript and surrounding audio, enabling multiple synthesis and editing tasks through contextual conditioning.
Scientific scope
Flow Matching is inherited; the contribution is the scalable speech-infilling system. The original release supplied a paper and demonstrations, rather than public model weights or code. Voice imitation requires consent and safeguards against impersonation.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Matthew Le; Apoorv Vyas; Bowen Shi; Brian Karrer; Leda Sari; Rashel Moritz; Mary Williamson; Vimal Manohar; Yossi Adi; Jay Mahadeokar; Wei-Ning Hsu
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.