·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Meta rolls out a new AI creator assistant on Facebook1h◆What to expect from WWDC 2026: Siri’s highly anticipated revamp and Apple Intelligence updates1h◆Is Silicon Valley ready to put robots in people’s homes? Hello Robot is.3h◆TSMC struggles to keep up with AI demand: ‘We can only support so much’4h◆Apple touts $1.4 trillion in App Store billings and sales, 90% without a commission4h◆Elon Musk is steamrolling Wall Street to become a trillionaire4h◆How to Fine-Tune Nemotron 3.5 ASR for Your Language, Domain, or Accent5h◆Let us filter AI slop, you cowards5h◆EVA-Bench Data 2.0: 3 Domains, 121 Tools, 213 Scenarios5h◆AI leaders call for tougher protections against AI-aided bioweapons6h◆How Endava is redesigning software delivery around AI agents6h◆Task-Seeded Synthetic Q&A Generation for Nemotron Pretraining6h◆How courts are coping with a flood of AI-generated lawsuits7h◆Amazon develops a warehouse robot that workers can speak to8h◆Dreaming: Better memory for a more helpful ChatGPT9h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning14h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning14h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models14h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents14h◆Why Muon Outperforms Adam: A Curvature Perspective14h◆Meta rolls out a new AI creator assistant on Facebook1h◆What to expect from WWDC 2026: Siri’s highly anticipated revamp and Apple Intelligence updates1h◆Is Silicon Valley ready to put robots in people’s homes? Hello Robot is.3h◆TSMC struggles to keep up with AI demand: ‘We can only support so much’4h◆Apple touts $1.4 trillion in App Store billings and sales, 90% without a commission4h◆Elon Musk is steamrolling Wall Street to become a trillionaire4h◆How to Fine-Tune Nemotron 3.5 ASR for Your Language, Domain, or Accent5h◆Let us filter AI slop, you cowards5h◆EVA-Bench Data 2.0: 3 Domains, 121 Tools, 213 Scenarios5h◆AI leaders call for tougher protections against AI-aided bioweapons6h◆How Endava is redesigning software delivery around AI agents6h◆Task-Seeded Synthetic Q&A Generation for Nemotron Pretraining6h◆How courts are coping with a flood of AI-generated lawsuits7h◆Amazon develops a warehouse robot that workers can speak to8h◆Dreaming: Better memory for a more helpful ChatGPT9h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning14h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning14h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models14h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents14h◆Why Muon Outperforms Adam: A Curvature Perspective14h◆
News/MELD: Mel-Spectrogram-Based Speech Language Modeling with Discrete Latent Variables
arxiv
PublishedMay 29, 2026 at 4:00 AM
—neutral

MELD: Mel-Spectrogram-Based Speech Language Modeling with Discrete Latent Variables

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2605.29859v1 Announce Type: cross Abstract: Recent speech language models rely on encoders that are optimized separately from autoregressive models. Since these encoders are unaware of the downstream objectives, the extracted representations may not be optimal for downstream tasks. To address

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning14harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning14harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models14harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents14h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews