SoundStorm: Efficient Parallel Audio Generation
We present SoundStorm, a model for efficient, non-autoregressive audio
generation. SoundStorm receives as input the semantic tokens of AudioLM, and
relies on bidirectional attention and confidence-based parallel decoding to
generate the tokens of a neural audio codec. Compared to the autoregressive
generation approach of AudioLM, our model produces audio of the same quality
and with higher consistency in voice and acoustic conditions, while being two
orders of magnitude faster. SoundStorm generates 30 seconds of audio in 0.5
seconds on a TPU-v4. We demonstrate the ability of our model to scale audio
generation to longer sequences by synthesizing high-quality, natural dialogue
segments, given a transcript annotated with speaker turns and a short prompt
with the speakers' voices.
64642490823c7f880550a724
Zalán Borsos
64642490823c7f880550a725
Matt Sharifi
64642490823c7f880550a726
Damien Vincent
64642490823c7f880550a727
Eugene Kharitonov
admin_assigned
2023-05-26T09:30:03.266Z
64509292fc5e5ff919b4a97d
https://cdn-avatars.huggingface.co/v1/production/uploads/64509292fc5e5ff919b4a97d/OOn5EaCXw39ePmgKptOuT.png
Eugene Kharitonov
user
ekharitonov
64642490823c7f880550a728
Neil Zeghidour
64642490823c7f880550a729
Marco Tagliasacchi
SoundStorm: Efficient Parallel Audio Generation
We present SoundStorm, a model for efficient, non-autoregressive audio
generation. SoundStorm receives as input the semantic tokens of AudioLM, and
relies on bidirectional attention and confidence-based parallel decoding to
generate the tokens of a neural audio codec. Compared to the autoregressive
generation approach of AudioLM, our model produces audio of the same quality
and with higher consistency in voice and acoustic conditions, while being two
orders of magnitude faster. SoundStorm generates 30 seconds of audio in 0.5
seconds on a TPU-v4. We demonstrate the ability of our model to scale audio
generation to longer sequences by synthesizing high-quality, natural dialogue
segments, given a transcript annotated with speaker turns and a short prompt
with the speakers' voices.
SoundStorm, a non-autoregressive audio generation model, delivers high-quality and consistent audio two orders of magnitude faster than autoregressive methods.
SoundStorm non-autoregressive semantic tokens bidirectional attention confidence-based parallel decoding neural audio codec audio generation autoregressive voice acoustic conditions TPU-v4 dialogue synthesis speaker turns prompt