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Audio Embedding

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DataFunSummit
DataFunSummit
Apr 11, 2022 · Artificial Intelligence

Exploring QQ Music Recall Algorithms: Knowledge‑Graph Fusion, Sequence & Multi‑Interest Modeling, Audio Recall, and Federated Learning

This article presents a comprehensive overview of QQ Music's recall pipeline, detailing business characteristics, challenges such as noisy user behavior and cold‑start, and four major solutions—including knowledge‑graph‑enhanced recall, sequence‑based and multi‑interest modeling, audio‑based recall, and federated learning—along with practical insights and Q&A.

Audio EmbeddingFederated LearningKnowledge Graph
0 likes · 19 min read
Exploring QQ Music Recall Algorithms: Knowledge‑Graph Fusion, Sequence & Multi‑Interest Modeling, Audio Recall, and Federated Learning
DataFunTalk
DataFunTalk
Apr 3, 2022 · Artificial Intelligence

Exploring QQ Music Recall Algorithms: Knowledge‑Graph Fusion, Sequence & Multi‑Interest Modeling, Audio Recall, and Federated Learning

This article presents a comprehensive overview of QQ Music's recall system, detailing business scenarios, challenges such as noisy user behavior and cold‑start, and four key solutions—including knowledge‑graph‑enhanced recall, sequence and multi‑interest modeling, audio‑based recall, and federated learning—along with experimental results, deployment details, and a Q&A session.

Audio EmbeddingFederated LearningKnowledge Graph
0 likes · 20 min read
Exploring QQ Music Recall Algorithms: Knowledge‑Graph Fusion, Sequence & Multi‑Interest Modeling, Audio Recall, and Federated Learning
Tencent Music Tech Team
Tencent Music Tech Team
Apr 26, 2021 · Artificial Intelligence

Tencent Music Multimedia R&D Center Announces Acceptance of Papers on Large-Scale Singer Recognition and Audio Embeddings at IJCNN and ICASSP 2021

Tencent Music’s Multimedia R&D Center celebrated its first appearances at IJCNN and ICASSP 2021 by having two papers accepted—one presenting large‑scale singer recognition via deep metric learning and the other describing user‑driven audio embeddings for content‑based music recommendation—highlighting the team’s expanding expertise across diverse music‑recognition technologies and future research directions.

Audio EmbeddingDeep LearningICASSP
0 likes · 8 min read
Tencent Music Multimedia R&D Center Announces Acceptance of Papers on Large-Scale Singer Recognition and Audio Embeddings at IJCNN and ICASSP 2021