2026-10-07T09:28:52Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33793864 2026-09-15T13:21:32Z category_29056 category_24937 item_type_3 month_year_09_2026

Data and Supplemental Materials for Noise-Robust Voice Command Recognition for Human-Robot Collaboration in Construction Environments Xuehai Fu (24933607) Jianliang Zhou (1693453) Pinsheng Duan (24934689) Human-computer interaction Automation and technology in building and construction construction robotics human-robot collaboration (HRC) voice command recognition speech enhancement Automatic speech recognition (ASR) construction noise synthetic speech semantic command mapping <p dir="ltr">This dataset contains the research data and supplemental materials supporting the manuscript "Noise-Robust Voice Command Recognition for Human-Robot Collaboration in Construction Environments." It includes (1) 1,000 synthetic Mandarin construction-oriented human-robot collaboration commands recorded as 16-kHz mono WAV files, together with speaker-profile-disjoint train, validation, and test splits, command metadata, voice-design prompts, selected synthetic reference voices, and quality-control summaries; (2) 2,586 10-s construction-noise clips derived from field recordings, totaling 7.18 h, with fixed split assignments and acoustic descriptors; (3) the structured semantic-command parser prompt; (4) the supplemental tables and figures; and (5) a video demonstrating representative robot-motion simulation and safety-control responses. The command speech was generated with Qwen3-TTS. Speaker role, age-range, and gender attributes are synthesis controls rather than observations of real construction workers. The construction-noise clips were screened to remove incidental speech and unrelated events. Model weights and third-party speech corpora are not included.</p> 2026-09-15T13:21:32Z Dataset Dataset 10.6084/m9.figshare.33793864.v1 https://figshare.com/articles/dataset/Data_and_Supplemental_Materials_for_Noise-Robust_Voice_Command_Recognition_for_Human-Robot_Collaboration_in_Construction_Environments/33793864 CC BY 4.0