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arXiv Computation and Language By Yosuke Higuchi, Tom Fizycki, Mahi Luthra, Charles-\'Eric Saint-James, Azeez Syed, Angel Villar-Corrales, Mido Assran, Nicolas Ballas, Jiayi Shen, Dongyan Lin, Phillip Rust, Surya Parimi, Vanessa Stark, Alexandre Allauzen, Bal\'azs Kegl, Juan Pino, Emmanuel Dupoux

GSLM2: Multi-Stream Speech Representation Learning and Generative Spoken Language Modeling

Read the original on arXiv Computation and Language →

GSLM2 is a multi‑stream generative spoken language model that learns complementary speech representations at multiple abstraction levels using the SpidR 2.0 encoder and a shared‑backbone SLM with stream‑specific predictors. It improves linguistic competence and scales more efficiently than prior speech models, narrowing the performance gap with text‑based language models by about two orders of magnitude on several benchmarks. The authors release the training code and checkpoints publicly.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

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