huggingfaceHugging Faceあり2026-09-03
The Attention Triangle in Audio-Video Models
Audio-video diffusion models rely on cross-modal attention to coordinate text, sound, and visual content, yet
品質予測/異常検知深層学習Attention機構生成画像テキスト
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
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「audio」の検索結果
8 件huggingfaceHugging Faceあり2026-09-03
The 2026 PNPL Competition: Word Classification and Efficient Cross-Subject Generalisation in LibriBrain100
The ambition of the 2025 PNPL competition (Landau et al., 2025) was to launch a multi-year curriculum for non-
深層学習軽量化・量子化分類検出音声
- 用途
- 分類
- 難易度
- Easy
- コスト
- Low
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huggingfaceHugging Faceあり2026-09-02
The Missing Temporal Link: Temporal Context Routing for Script-Driven Audio-Video Generation
Joint audio-video generation models have made substantial progress in visual quality and audio-visual synchron
品質予測/異常検知コンピュータビジョン動画認識生成画像テキスト
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-09-02
VeriPhy: Agentic Physical Reasoning for World Model Evaluation and Refinement
Visual fluency in generated video does not imply physical reliability, and a scalar quality score alone is inc
MI向き品質予測/異常検知コンピュータビジョンセグメンテーション検出生成画像
- 用途
- 検出
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-09-02
A Common Measure of Communication for Speech Brain-Computer Interfaces
Speech brain-computer interfaces (speech BCIs) translate neural activity into language, offering a path toward
深層学習Transformer音声
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- Medium
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huggingfaceHugging Faceあり2026-09-02
VibeVoice-ASR-Streaming Technical Report
Traditional speaker-attributed ASR systems treated ASR and speaker diarization as two separate tasks. Recently
自然言語処理大規模言語モデル分類テキスト音声
- 用途
- 分類
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-08-28
Motion-Omni: End-to-End Joint Speech and Full-Body Motion for Spoken Dialogue
An avatar that holds a conversation should decide what to say and to move while saying it, yet these abilities
品質予測/異常検知自然言語処理大規模言語モデル音声
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
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huggingfaceHugging Faceあり2026-08-07
Training-Free Speech-Centric Omni Understanding with Frozen VLMs
Audio-visual understanding remains challenging because models must jointly interpret spoken content, visual ev
センサ/時系列自然言語処理RAGQA画像テキスト
- 用途
- QA
- 難易度
- Easy
- コスト
- High
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