I have a set of 104 audio files that make up a robotics-focused speech corpus. Every file runs between 5 and 15 minutes. I now need an audio-savvy freelancer to help me prepare this material for the next phase of my project. We will finalise the exact workflow together once you are on board, but the job will revolve around taking the raw recordings from my cloud drive, performing the agreed processing steps, and returning a clean, well-structured corpus ready for research use. Typical tasks that may be involved include basic noise removal, volume normalisation, splitting longer takes into individual utterances, and, where needed, light annotation or transcript extraction. If you specialise in a particular toolchain—Audacity, Adobe Audition, Praat, Python audio libraries or similar—please mention it so I know where your strengths lie. Deliverables • All 104 recordings processed to the agreed specification • Consistent file naming and folder structure that matches my template • A brief work log noting the actions taken on each file and any issues encountered Acceptance criteria • No audible artefacts introduced during processing • Every file meets the loudness and format parameters we confirm at kickoff • Corpus delivered via shared cloud folder by the mutually agreed deadline In your bid, let me know your estimated turnaround time for a corpus of this size and attach or link to at least one example of comparable audio work you have completed.