{"id":26278,"date":"2024-02-25T08:16:24","date_gmt":"2024-02-25T09:16:24","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-%da%86%d8%a7%d9%84%d8%b4-notsofar-1-%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87-%d8%af%d8%a7%d8%af%d9%87%d9%87%d8%a7%d8%8c-%d9%be%d8%a7%db%8c%d9%87-%d9%88-%d9%88\/"},"modified":"2024-02-25T08:16:25","modified_gmt":"2024-02-25T09:16:25","slug":"%d9%85%d9%82%d8%a7%d9%84%d9%87-%da%86%d8%a7%d9%84%d8%b4-notsofar-1-%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87-%d8%af%d8%a7%d8%af%d9%87%d9%87%d8%a7%d8%8c-%d9%be%d8%a7%db%8c%d9%87-%d9%88-%d9%88","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-%da%86%d8%a7%d9%84%d8%b4-notsofar-1-%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87-%d8%af%d8%a7%d8%af%d9%87%d9%87%d8%a7%d8%8c-%d9%be%d8%a7%db%8c%d9%87-%d9%88-%d9%88\/","title":{"rendered":"\u0645\u0642\u0627\u0644\u0647 \u0686\u0627\u0644\u0634 NOTSOFAR-1: \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u060c \u067e\u0627\u06cc\u0647 \u0648 \u0648\u0638\u0627\u06cc\u0641 \u062c\u062f\u06cc\u062f \u0628\u0631\u0627\u06cc \u0631\u0648\u0646\u0648\u06cc\u0633\u06cc \u0645\u0644\u0627\u0642\u0627\u062a \u0627\u0632 \u0631\u0627\u0647 \u062f\u0648\u0631"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n
\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc <\/td>\nNOTSOFAR-1 Challenge: New Datasets, Baseline, and Tasks for Distant Meeting Transcription<\/td>\n<\/tr>\n
\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc <\/td>\n\u0645\u0642\u0627\u0644\u0647 Notsofar-1 Challenge: \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062c\u062f\u06cc\u062f \u060c \u067e\u0627\u06cc\u0647 \u0648 \u0648\u0638\u0627\u06cc\u0641 \u0628\u0631\u0627\u06cc \u0631\u0648\u0646\u0648\u06cc\u0633\u06cc \u062c\u0644\u0633\u0627\u062a \u062f\u0648\u0631<\/td>\n<\/tr>\n
\u0646\u0648\u06cc\u0633\u0646\u062f\u06af\u0627\u0646 <\/td>\nAlon Vinnikov, Amir Ivry, Aviv Hurvitz, Igor Abramovski, Sharon Koubi, Ilya Gurvich, Shai Pe`er, Xiong Xiao, Benjamin Martinez Elizalde, Naoyuki Kanda, Xiaofei Wang, Shalev Shaer, Stav Yagev, Yossi Asher, Sunit Sivasankaran, Yifan Gong, Min Tang, Huaming Wang, Eyal Krupka<\/td>\n<\/tr>\n
\u0632\u0628\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 <\/td>\n\u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n<\/tr>\n
\u0641\u0631\u0645\u062a \u0645\u0642\u0627\u0644\u0647: <\/td>\nPDF<\/td>\n<\/tr>\n
\u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a<\/td>\n8<\/td>\n<\/tr>\n
\u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0645\u0648\u0636\u0648\u0639\u0627\u062a <\/td>\nSound,Artificial Intelligence,Computation and Language,Audio and Speech Processing,\u0635\u062f\u0627 , \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc , \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0648 \u0632\u0628\u0627\u0646 , \u067e\u0631\u062f\u0627\u0632\u0634 \u0635\u0648\u062a\u06cc \u0648 \u06af\u0641\u062a\u0627\u0631 ,<\/td>\n<\/tr>\n
\u062a\u0648\u0636\u06cc\u062d\u0627\u062a <\/td>\nSubmitted 16 January, 2024; originally announced January 2024. , Comments: preprint<\/td>\n<\/tr>\n
\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc <\/td>\n16 \u0698\u0627\u0646\u0648\u06cc\u0647 2024 \u0627\u0631\u0633\u0627\u0644 \u0634\u062f.\u062f\u0631 \u0627\u0628\u062a\u062f\u0627 \u0698\u0627\u0646\u0648\u06cc\u0647 2024 \u0627\u0639\u0644\u0627\u0645 \u0634\u062f \u060c \u0646\u0638\u0631\u0627\u062a: preprint<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u0686\u06a9\u06cc\u062f\u0647<\/h2>\n

We introduce the first Natural Office Talkers in Settings of Far-field Audio Recordings (“NOTSOFAR-1”) Challenge alongside datasets and baseline system. The challenge focuses on distant speaker diarization and automatic speech recognition (DASR) in far-field meeting scenarios, with single-channel and known-geometry multi-channel tracks, and serves as a launch platform for two new datasets: First, a benchmarking dataset of 315 meetings, averaging 6 minutes each, capturing a broad spectrum of real-world acoustic conditions and conversational dynamics. It is recorded across 30 conference rooms, featuring 4-8 attendees and a total of 35 unique speakers. Second, a 1000-hour simulated training dataset, synthesized with enhanced authenticity for real-world generalization, incorporating 15,000 real acoustic transfer functions. The tasks focus on single-device DASR, where multi-channel devices always share the same known geometry. This is aligned with common setups in actual conference rooms, and avoids technical complexities associated with multi-device tasks. It also allows for the development of geometry-specific solutions. The NOTSOFAR-1 Challenge aims to advance research in the field of distant conversational speech recognition, providing key resources to unlock the potential of data-driven methods, which we believe are currently constrained by the absence of comprehensive high-quality training and benchmarking datasets.<\/p>\n

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  • \r\n\t\t\u06a9\u06cc\u0641\u06cc\u062a \u062a\u0631\u062c\u0645\u0647 \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627 \u0645\u06cc \u0628\u0627\u0634\u062f. \u0645\u0642\u0627\u0644\u0647 \u0641\u0642\u0637 \u062a\u0648\u0633\u0637 \u0645\u062a\u0631\u062c\u0645\u06cc\u0646 \u0628\u0627 \u0645\u062f\u0631\u06a9 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc \u0645\u062a\u0631\u062c\u0645\u06cc \u062a\u0631\u062c\u0645\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.\r\n\t\t<\/li>\r\n\t\t
  • \r\n\t\t\u06a9\u0644\u06cc\u0647 \u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u0641\u0627\u06cc\u0644 \u062a\u062d\u0648\u06cc\u0644\u06cc \u0648\u0631\u062f \u062f\u0631\u062c \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.\r\n\t\t<\/li>\r\n\t<\/td>\r\n\t\r\n\t\r\n<\/tr>\r\n<\/table>\r\n\r\n\r\n\n","protected":false},"excerpt":{"rendered":"

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