{"id":5301,"date":"2026-06-18T18:11:15","date_gmt":"2026-06-18T10:11:15","guid":{"rendered":"https:\/\/www.15zhi.net\/blog\/?p=5301"},"modified":"2026-06-18T18:11:15","modified_gmt":"2026-06-18T10:11:15","slug":"202606-%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-spatial-clap-learning-spatially-aware-audio-text-embeddings-for-multi-source-conditions","status":"publish","type":"post","link":"https:\/\/www.15zhi.net\/blog\/202606-%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-spatial-clap-learning-spatially-aware-audio-text-embeddings-for-multi-source-conditions\/","title":{"rendered":"202606 \u8bba\u6587\u7814\u8bfb-SPATIAL-CLAP: learning spatially-aware audio\u2013text embeddings for multi-source conditions"},"content":{"rendered":"\n

\u4f5c\u8005: <\/em><\/strong>Kentaro Seki, Yuki Okamoto, Kouei Yamaoka, Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari<\/em>
\u5355\u4f4d:\u4e1c\u4eac\u5927\u5b66, \u5e86\u5e94\u4e49\u587e\u5927\u5b66<\/em><\/strong>
\u6765\u6e90: <\/em><\/strong>ICASSP<\/em>
\u65f6\u95f4: <\/em><\/strong>2026.05<\/em><\/p>\n\n\n\n

\u4e00\u3001\u7814\u7a76\u80cc\u666f<\/h2>\n\n\n\n
\"\"<\/figure>\n\n\n\n

\u4e8c\u3001\u6838\u5fc3\u8d21\u732e<\/h2>\n\n\n\n
\"\"<\/figure>\n\n\n\n

\u4e09\u3001\u65b9\u6cd5<\/h2>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n

\u56db\u3001\u5b9e\u9a8c<\/h2>\n\n\n\n

1.\u5b9e\u9a8c\u51c6\u5907<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

2.\u5b9e\u9a8c\u7ed3\u679c\u2014\u2014Embedding-Based Evaluation<\/strong><\/p>\n\n\n\n

(1)\u666e\u901aclap\u51e0\u4e4e\u6ca1\u6709\u7a7a\u95f4\u80fd\u529b\uff0c\u4f20\u7edfspatial-clap\u4ec5\u80fd\u5904\u7406\u5355\u58f0\u6e90\u7a7a\u95f4\uff0c\u5728\u591a\u58f0\u6e90\u6761\u4ef6\u4e0b\u5e76\u4e0d\u53ef\u9760\u3002
(2)\u5c06\u5185\u5bb9\u548c\u7a7a\u95f4\u5206\u5f00\u5efa\u6a21\uff0c\u518d\u8fdb\u884c\u7ec4\u5408\uff0c\u5e76\u4e0d\u80fd\u771f\u6b63\u5b66\u4f1a\u58f0\u6e90-\u7a7a\u95f4\u7ed1\u5b9a\u95ee\u9898\u3002
(3)\u5b8c\u6574\u7684Spatial-CLAP \u5728\u591a\u58f0\u6e90\u68c0\u7d22\u3001\u7a7a\u95f4\u5206\u7c7b\u548c\u5185\u5bb9-\u7a7a\u95f4\u5bf9\u5e94\u4efb\u52a1\u4e0a\u5747\u660e\u663e\u4f18\u4e8e\u5bf9\u6bd4\u65b9\u6cd5\u3002
(4)\u6d88\u878d\u5b9e\u9a8c\u8bf4\u660e\uff0cCLAP \u8d1f\u8d23\u5185\u5bb9\u8bed\u4e49\uff0cSELD\/CA-SE \u8d1f\u8d23\u7a7a\u95f4\u7ed1\u5b9a\uff0cSCL \u8fdb\u4e00\u6b65\u5f3a\u5316\u591a\u58f0\u6e90\u5185\u5bb9-\u7a7a\u95f4\u5bf9\u5e94\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

3.\u5b9e\u9a8c\u7ed3\u679c\u2014\u2014Spatial Audio Captioning<\/strong><\/p>\n\n\n\n

(1)\u5728\u7a7a\u95f4\u97f3\u9891\u63cf\u8ff0\u751f\u6210\u4efb\u52a1\u4e2d\uff0cSpatial-CLAP \u7684 embedding \u80fd\u751f\u6210\u6574\u4f53\u8d28\u91cf\u66f4\u9ad8\u3001\u7a7a\u95f4\u63cf\u8ff0\u66f4\u51c6\u786e\u7684 caption\u3002
(2)\u666e\u901aclap\u4ec5\u5728\u8bed\u4e49\u76f8\u4f3c\u5ea6\u4e0a\u7ed3\u679c\u8f83\u597d\uff0c\u4f46\u51e0\u4e4e\u6ca1\u6709\u6b63\u786e\u7684\u7a7a\u95f4\u65b9\u5411\u63cf\u8ff0\u3002
(3)\u800c\u4f20\u7edf\u7684spatial-clap\u6709\u4e00\u5b9a\u7684\u7a7a\u95f4\u63cf\u8ff0\uff0c\u4f46\u5185\u5bb9\u548c\u65b9\u5411\u7684\u6b63\u786e\u5bf9\u5e94\u4ecd\u4e0d\u5982\u672c\u6587\u65b9\u6cd5\u3002
(4)SCL \u5728 captioning \u4e0a\u5e26\u6765\u7684\u662f\u7a33\u5b9a\u4f46\u4e0d\u7b97\u5de8\u5927\u7684\u63d0\u5347\uff0c\u800c\u5728\u5185\u5bb9-\u7a7a\u95f4\u5bf9\u5e94\u5224\u65ad\u4efb\u52a1\u4e0a\u4f5c\u7528\u66f4\u660e\u663e\u3002<\/p>\n\n\n\n

4.\u5b9e\u9a8c\u7ed3\u679c\u2014\u2014Visualization of Embeddings<\/strong><\/p>\n\n\n\n

(1)RoBERTa \u539f\u59cb\u6587\u672c embedding \u5bf9\u7a7a\u95f4\u65b9\u5411\u533a\u5206\u4e0d\u660e\u663e\uff0c\u7a7a\u95f4\u7c7b\u522b\u5728\u53ef\u89c6\u5316\u4e2d\u6df7\u5408\u8f83\u591a\u3002
(2)Spatial-CLAP \u8bad\u7ec3\u540e\u7684 embedding \u80fd\u5f62\u6210\u66f4\u660e\u663e\u7684\u7a7a\u95f4\u7c7b\u522b\u7c07\uff0c\u8bf4\u660e\u6a21\u578b\u786e\u5b9e\u5b66\u5230\u4e86\u7a7a\u95f4\u7ed3\u6784\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u4e94\u3001\u603b\u7ed3<\/h2>\n\n\n\n

(1)\u63d0\u51fa Spatial-CLAP\uff0c\u5c06\u666e\u901a CLAP \u4ece\u5355\u58f0\u9053\/\u5355\u58f0\u6e90\u97f3\u9891-\u6587\u672c\u5bf9\u9f50\u6269\u5c55\u5230\u591a\u58f0\u6e90\u7a7a\u95f4\u97f3\u9891-\u6587\u672c\u5bf9\u9f50\u3002
(2)\u63d0\u51fa content-aware spatial encoder\uff0c\u4f7f\u7a7a\u95f4\u8868\u793a\u4e0d\u518d\u662f\u72ec\u7acb\u7684\u65b9\u5411\u7279\u5f81\uff0c\u800c\u662f\u548c\u58f0\u97f3\u5185\u5bb9\u7ed1\u5b9a\uff0c\u4ece\u800c\u89e3\u51b3\u201c\u54ea\u4e2a\u58f0\u97f3\u5728\u54ea\u91cc\u201d\u7684\u95ee\u9898\u3002
(3)\u63d0\u51fa spatial contrastive learning\uff0c\u901a\u8fc7\u4ea4\u6362\u58f0\u6e90\u7a7a\u95f4\u4f4d\u7f6e\u6784\u9020 hard negative\uff0c\u663e\u5f0f\u8bad\u7ec3\u6a21\u578b\u533a\u5206\u6b63\u786e\u548c\u9519\u8bef\u7684\u5185\u5bb9-\u7a7a\u95f4\u5bf9\u5e94\u5173\u7cfb\u3002
(4)\u5b9e\u9a8c\u9a8c\u8bc1 Spatial-CLAP \u5728\u591a\u58f0\u6e90\u68c0\u7d22\u3001\u7a7a\u95f4\u5206\u7c7b\u3001\u5185\u5bb9-\u7a7a\u95f4\u5bf9\u5e94\u5224\u65ad\u548c spatial audio captioning \u4e0a\u90fd\u4f18\u4e8e\u666e\u901a CLAP \u548c\u4f20\u7edf spatial extension\u3002<\/p>\n\n\n\n

\u516d\u3001\u5bf9\u9f50\u601d\u8003<\/h2>\n\n\n\n

1.\u65b9\u6cd5\u521b\u65b0\u70b9\u2014\u2014\u5168\u57df\u6570\u636e\u62d3\u6251\u5efa\u6a21:\u63d0\u51fa Spatial-CLAP\uff0c\u7528 CLAP \u5185\u5bb9\u7f16\u7801\u5668\u3001SELD \u9884\u8bad\u7ec3\u7684 content-aware spatial encoder\uff0c\u4ee5\u53ca SCL \u7a7a\u95f4\u5bf9\u6bd4\u5b66\u4e60\uff0c\u8ba9\u6a21\u578b\u5b66\u4e60\u591a\u58f0\u6e90\u6761\u4ef6\u4e0b\u7684\u58f0\u97f3\u5185\u5bb9\u4e0e\u7a7a\u95f4\u4f4d\u7f6e\u5bf9\u5e94\u5173\u7cfb\u3002<\/p>\n\n\n\n

2.\u6280\u672f\u76ee\u6807\u70b9\u2014\u2014\u865a\u5b9e\u7a7a\u95f4\u5b6a\u751f\u63a8\u6f14:\u8ba9 audio-text embedding \u4e0d\u53ea\u8868\u8fbe\u201c\u6709\u4ec0\u4e48\u58f0\u97f3\u201d\uff0c\u8fd8\u8868\u8fbe\u201c\u58f0\u97f3\u5728\u54ea\u91cc\u201d\u4ee5\u53ca\u201c\u54ea\u4e2a\u58f0\u97f3\u5bf9\u5e94\u54ea\u4e2a\u4f4d\u7f6e\u201d\uff0c\u5e76\u652f\u6301\u68c0\u7d22\u3001\u7a7a\u95f4\u5206\u7c7b\u3001\u5185\u5bb9-\u7a7a\u95f4\u5bf9\u5e94\u5224\u65ad\u548c spatial audio captioning\u3002<\/p>\n\n\n\n

3.\u4e2d\u8bd5\u4ea7\u54c1\u70b9\u2014\u2014\u57c3\u89c5\u6587\u65c5: \u53ef\u4ee5\u5e2e\u52a9\u6a21\u578b\u66f4\u597d\u7406\u89e3\u97f3\u9891\u4ee5\u53ca\u97f3\u9891\u7a7a\u95f4\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\u4f5c\u8005: Kentaro Seki, Yuki Okamoto, Kouei Yamaoka, Yuki Sai […]<\/p>\n","protected":false},"author":74,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-5301","post","type-post","status-publish","format-standard","hentry","category-events"],"_links":{"self":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/5301","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/users\/74"}],"replies":[{"embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/comments?post=5301"}],"version-history":[{"count":1,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/5301\/revisions"}],"predecessor-version":[{"id":5368,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/5301\/revisions\/5368"}],"wp:attachment":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/media?parent=5301"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/categories?post=5301"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/tags?post=5301"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}