Ngankoue A.

Native French speaker providing high-fidelity audio data for AI training, voice recognition, and linguistic projects with 100% technical accuracy. Most recording projects fail due to poor audio quality or incorrect file management. I eliminate these risks by combining native linguistic fluency with a Software Engineering background. I don't just record voice; I deliver structured audio data that is ready for immediate integration into your machine learning models or production pipelines. Technical Strengths & Skills Linguistic Precision: Native French speaker with a neutral, articulate, and professional accent. Acoustic Quality: Recordings performed in a treated, silent environment with professional-grade equipment (Zero echo, zero background noise). Data Integrity: Expert at following complex naming conventions, folder structures, and specific metadata requirements. Audio Specs: Proficient in delivering exact sample rates (16kHz to 48kHz), bit depths, and formats (WAV, FLAC, MP3). Featured Projects & Accomplishments AI Dataset Collection: Successfully recorded and labeled 2,000+ French utterances for a major voice assistant training project, maintaining a 0% file rejection rate. System Commands & Prompting: Delivered 500+ distinct voice commands for an automotive navigation system, adhering to strict timing and emotional tone guidelines. Technical Transcription: Transcribed complex French audio into clean, perfectly punctuated text for NLP (Natural Language Processing) datasets. Why I Am the Most Reliable Choice Developer Discipline: I understand the importance of Clean Data. If your project requires 1,000 files named user01_command_001.wav, that is exactly what you will receive. Zero Learning Curve: I am comfortable with data collection platforms (Appen, Telus, OneForma) and specialized recording software. Fast Turnaround: High-volume capacity with first-pass quality—no constant revisions needed.