Speech Recognition Jobs

We are looking for agencies, call centres, data providers, research organizations, or individuals who already have existing/ready-made audio datasets for a multilingual speech data project. Important: This is not primarily a new recording project. We are specifically looking for previously recorded, legally transferable and redistributable audio data that meets the required language, accent, and dialect specifications. Languages Required English Japanese Spanish Arabic Korean Thai Vietnamese Indonesian Malay Portuguese Data Requirements Existing/ready-made audio data is strongly preferred. The data must be legally transferable and redistributable to the client. Data may include: Single-speaker recordings Two-person conversations/dialogues Multi-person conversations Multi-person conversat...

I have a collection of conversational recordings in Tagalog and Taglish that I need transcribed directly into clear, fluent English. The material spans roughly two months of sessions, so the total length is well beyond the three-hour mark. What makes the job challenging is the sound quality: many clips carry significant background noise—traffic hum, overlapping chatter, the occasional clatter of dishes. You will have to rely on sharp listening skills, noise-reduction tricks in tools like Audacity or Adobe Audition, and plenty of patience to capture every line accurately. Here is what I expect: • A straight English transcript for each audio file—no Tagalog retained—presented in a clean, readable document (Word or Google Docs is fine). • Clear speaker labelin...

I need help turning a batch of raw recordings into clean, speaker-labelled data. Every file already carries basic metadata; what is missing is precise speaker identification. Your task is to listen through each track, mark the start- and end-times whenever a new voice begins, and assign a consistent speaker ID throughout the set. Please deliver: • A time-stamped annotation file for each recording (CSV or JSON) that lists segment start, segment end, and assigned speaker label. • The annotated audio back in its original folder structure so it stays aligned with our internal pipeline. Accuracy matters more than speed, so feel free to use diarization tools such as , SpeechBrain, or your own proprietary workflow—just document what you use so we can reproduce results later. Wh...