·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Accel reportedly in talks to lead $1B round for Thinking Machines at $40B valuation36m◆Abliteration.ai is making a business out of removing AI guardrails1h◆Meta is paying to peek at how you use their latest AI model1h◆OpenAI launches Astra, its powerful (and controversial) new model2h◆OpenAI’s next big AI model has ‘entered the AGI era’2h◆Ollie is betting its focus on privacy can help it win the AI assistant race4h◆Nvidia launches free tool that links idle computers into a personal AI data center4h◆Google now lets you chat with Gmail, Docs, and Keep4h◆ChatGPT, Grok, and Claude all went down at the same time4h◆Google’s latest AI weather model gives you no excuse to forget your umbrella5h◆Google says its AI weather model is getting better5h◆NeoMME: an efficient Multimodal-native and Multilingual Encoder6h◆Nvidia confirms it will buy Hugging Face for $12.9 billion7h◆Nvidia is buying Hugging Face for almost $13 billion8h◆Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI16h◆SSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval16h◆Epistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence16h◆DocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents16h◆MASkills: Continual Skills Optimization for Multi-Agent LLM Systems16h◆Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model16h◆Accel reportedly in talks to lead $1B round for Thinking Machines at $40B valuation36m◆Abliteration.ai is making a business out of removing AI guardrails1h◆Meta is paying to peek at how you use their latest AI model1h◆OpenAI launches Astra, its powerful (and controversial) new model2h◆OpenAI’s next big AI model has ‘entered the AGI era’2h◆Ollie is betting its focus on privacy can help it win the AI assistant race4h◆Nvidia launches free tool that links idle computers into a personal AI data center4h◆Google now lets you chat with Gmail, Docs, and Keep4h◆ChatGPT, Grok, and Claude all went down at the same time4h◆Google’s latest AI weather model gives you no excuse to forget your umbrella5h◆Google says its AI weather model is getting better5h◆NeoMME: an efficient Multimodal-native and Multilingual Encoder6h◆Nvidia confirms it will buy Hugging Face for $12.9 billion7h◆Nvidia is buying Hugging Face for almost $13 billion8h◆Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI16h◆SSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval16h◆Epistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence16h◆DocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents16h◆MASkills: Continual Skills Optimization for Multi-Agent LLM Systems16h◆Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model16h◆
News/VieSpeaker: A Large-Scale Vietnamese Speaker Recognition Dataset Beyond Visual Dependency
arxiv
PublishedJune 24, 2026 at 4:00 AM

VieSpeaker: A Large-Scale Vietnamese Speaker Recognition Dataset Beyond Visual Dependency

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

arXiv:2606.24066v1 Announce Type: cross Abstract: Speaker recognition has advanced rapidly with large-scale training datasets, yet Vietnamese remains under-resourced, with existing corpora limited in scale and acoustic diversity. Most large-scale datasets rely on facial cues to link speech with spea

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
arxivMeta-ethics and AI: exploring the novel meta-ethical questions in the era of AI16harxivSSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval16harxivEpistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence16harxivDocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents16h
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