Whispered Interview Audio Transcription
Budget / SalaryHourly project
TypeFreelance project
LocationRemote
Posted1 hour ago
I have several interview recordings where the participants drop their voices to a near-whisper right at the moments that matter most. I need those low-level passages isolated, enhanced and then transcribed accurately into clear, well-formatted text.
Here is what the job involves:
• Isolate and denoise the whispered portions without introducing artifacts or making the speech sound unnatural.
• Transcribe the cleaned English dialogue with correct punctuation and speaker labels.
• Flag any unintelligible words with time-stamps so I can review them quickly.
I typically work with WAV and MP3 files; if you prefer a different format, let me know before we start so I can convert them for you. You’re free to use whichever tools you trust—iZotope RX, Adobe Audition, Audacity, or a machine-learning workflow such as Whisper or DeepSpeech—so long as the final audio and text meet these two acceptance criteria:
1. Whispered speech is audible at a normal listening level with background noise kept to a minimum.
2. Transcription accuracy is consistently above 95 %, with all inaudible spots clearly marked.
When you respond, please include a short sample or case study from past work where you performed a similar extraction or transcription task. That will help me gauge whether your approach matches the sound profile of my recordings.
Once I review your sample, we can agree on the number of files, milestones and turnaround. I’m ready to get started as soon as I find the right fit.
Here is what the job involves:
• Isolate and denoise the whispered portions without introducing artifacts or making the speech sound unnatural.
• Transcribe the cleaned English dialogue with correct punctuation and speaker labels.
• Flag any unintelligible words with time-stamps so I can review them quickly.
I typically work with WAV and MP3 files; if you prefer a different format, let me know before we start so I can convert them for you. You’re free to use whichever tools you trust—iZotope RX, Adobe Audition, Audacity, or a machine-learning workflow such as Whisper or DeepSpeech—so long as the final audio and text meet these two acceptance criteria:
1. Whispered speech is audible at a normal listening level with background noise kept to a minimum.
2. Transcription accuracy is consistently above 95 %, with all inaudible spots clearly marked.
When you respond, please include a short sample or case study from past work where you performed a similar extraction or transcription task. That will help me gauge whether your approach matches the sound profile of my recordings.
Once I review your sample, we can agree on the number of files, milestones and turnaround. I’m ready to get started as soon as I find the right fit.
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