Audio Similarity Search With Zilliz Cloud Vector Database
Effortlessly discover similar audio clips through the Zilliz Cloud-powered audio search engine, benefiting apps like music recommendation and speech recognition with high efficiency.
High-Performant Audio Search with Unparalleled Precision
Experience a 10x performance boost on Zilliz Cloud with advanced indexing algorithms, ensuring millisecond-level latency. Benefit from unparalleled precision using hybrid vector search with scalar filtering and range search capability.
Efficiently Managing Your Spiking Audio Data
Experience horizontal and independent scaling for computing and storage, aligning perfectly with your budget and evolving needs. Manage billions of vectors within hours with efficient bulk inserts.
Real-Time Responses for Optimized User Experience
Zilliz Cloud guarantees consistently up-to-date search results through real-time data insertion, deletion, and seamless data flows, significantly optimizing the user experience.
Always On, Always Reliable
Zilliz Cloud builds resilient audio search systems, ensuring uninterrupted services even in unexpected events through multiple replicas, component isolation, and robust backup and sync capabilities.
Simple Start, Amplified Productivity
Effortlessly deploys a large-scale similarity search service in minutes with user-friendly SDKs in multiple languages and streamlined data operations, ensuring an intuitive experience.
Zilliz Cloudが音声類似性検索を強化する方法
Zillizを搭載した音声類似検索システムは、以下のような仕組みになっている：
- 音声クリップは埋め込みモデルを用いてベクトル埋め込みに変換される。
- 埋め込まれた音声はZilliz Cloudに保存される。
- ユーザはクエリに類似したオーディオクリップを要求する。
- 音声クエリはエンベッディングモデルを用いてベクトルエンベッディングに変換される。
- クエリ埋め込みは類似検索のためにZilliz Cloudに送られる。
- Zilliz CloudはANN検索を行い、最も関連性の高いTop-Kの結果を取得する。
- Zilliz CloudはTop-Kの結果をユーザーに返す。