LinearSpeech: Parallel Text-to-Speech with Linear Complexity
Non-autoregressive text to speech models such as FastSpeech can synthesize speech significantly faster than previous autoregressive models with comparable quality.
LinearSpeech: Parallel Text-to-Speech with Linear Complexity. ... Improving the Robustness of Deepfake Audio Detection through Confidence Calibration.
from publication: LinearSpeech: Parallel Text-to-Speech with Linear Complexity | Parallel | ResearchGate, the professional network for scientists.
Jan 9, 2024 · We introduce Matcha-TTS, a new encoder-decoder architecture for speedy TTS acoustic modelling, trained using optimal-transport conditional flow matching (OT- ...
LinearSpeech: Parallel Text-to-Speech with Linear Complexity · Haozhe Zhang ... 2021. TLDR. This work proposes LinearSpeech, an efficient parallel text-to-speech ...
Jun 11, 2024 · In this paper we presented Small-E, a TTS model based on codec language model. The proposed model tackles limitations of current LM TTS models.
Missing: LinearSpeech: | Show results with:LinearSpeech:
Sep 4, 2024 · We introduce Matcha-TTS, a new encoder-decoder architecture for speedy TTS acoustic modelling, trained using optimal-transport conditional ...
Feb 7, 2024 · I'd like to know how I can integrate “Text to Speech” with freepbx, so that when this feature is being used the user will hear “One moment while we connect ...
A “continuous”, non-decompositional approach supports a strictly linear and morphologically insensitive method of auditory processing: The Shortlist B model as ...
Jan 1, 2024 · I'm looking for a good text-to-speech software with as natural sounding voices as possible, preferably with option to train on local machine with AMD GPU.