• Home
  • Technology
  • Gaming
  • Entertainment
  • World & Business
  • Science
  • Sports
  • AI
HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
AI

VoiceArena launches Diarization Bench to compare 12 diarization systems

A post describes tests of systems that identify who spoke when, highlighting how timing tolerance around speaker changes affects NVIDIA Nemotron 3's error rate.

Hugging FaceHF
merveME
3 Sources, 20d ago, first seen 20d ago

TLDR

According to a post about the launch, VoiceArena's Diarization Bench compares 12 systems using the same real-world audio and scoring rules. The post says accuracy drops quickly with overlapping speech and more speakers. It highlights the effect of the “collar”—the timing tolerance around a speaker change: NVIDIA Nemotron 3 scores a 4.29% diarization error rate with a 250 ms collar, but 14.72% when the exact same output is scored with a 0 ms collar.

Combined views

1K

3 Sources, first seen 20d ago

673 reposts

Combined views

1K

3 Sources, first seen 20d ago

673 reposts

Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

Featured Source

Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

3 Sources

Rohan Paul@rohanpaul_aiVoiceArena launched Diarization Bench to compare 12 diarization systems on the same real-world audio and scoring rules. It exposes how quickly accuracy drops with overlap and more speakers. STT, TTS, conversational agents, and now diarization, all on @voicearena_ai The number that got me is the collar effect: the collar is simply the timing tolerance around a speaker change. NVIDIA Nemotron 3 scores 4.29% DER with a 250 ms collar. Score the exact same output at 0 ms and it becomes 14.72%.20d
Hugging Face@huggingfaceRT @NVIDIAAI: When several people talk at once, a transcript can get messy fast. Our new Nemotron 3 Diarization model tracks who spoke whe…20d
merve@mervenoyannRT @NVIDIAAI: When several people talk at once, a transcript can get messy fast. Our new Nemotron 3 Diarization model tracks who spoke whe…20d
    • Home
    • Technology
    • Gaming
    • Entertainment
    • World & Business
    • Science
    • Sports
    • AI

    3 Sources

    Rohan Paul@rohanpaul_aiVoiceArena launched Diarization Bench to compare 12 diarization systems on the same real-world audio and scoring rules. It exposes how quickly accuracy drops with overlap and more speakers. STT, TTS, conversational agents, and now diarization, all on @voicearena_ai The number that got me is the collar effect: the collar is simply the timing tolerance around a speaker change. NVIDIA Nemotron 3 scores 4.29% DER with a 250 ms collar. Score the exact same output at 0 ms and it becomes 14.72%.20d
    Hugging Face@huggingfaceRT @NVIDIAAI: When several people talk at once, a transcript can get messy fast. Our new Nemotron 3 Diarization model tracks who spoke whe…20d
    merve@mervenoyannRT @NVIDIAAI: When several people talk at once, a transcript can get messy fast. Our new Nemotron 3 Diarization model tracks who spoke whe…20d
    Today's Rank

    —

    Not ranked yet

    Today's Rank

    —

    Not ranked yet