Required stack
필요 기술
PythonAudio ServicesLinuxAudio ProcessingSignal ProcessingDeep LearningAudio EngineeringNatural Language ProcessingMachine Learning AlgorithmsSpeech SynthesisGPU ProgrammingReal-time Audio Processing
Project brief
프로젝트 내용
Our client runs a call center with Nigerian agents calling US businesses. They need a Python script that makes the agents' accent sound more neutral and clear to American ears in real time during live phone calls.
The hard part is already done. There is a fully built Node.js server that handles the live call audio. We just need you to write one Python script that plugs into it.
What the script needs to do:
Receive live audio from the server, process it through a voice conversion model to soften the Nigerian accent, and send the processed audio back. The whole process must happen in under 150ms so the conversation feels natural with no delay.
Tech details:
Audio comes in as mulaw 8kHz chunks. You can resample internally for better model performance then convert back before sending out. RVC is the preferred model but we are open to alternatives that meet the latency requirement. Script runs on a RunPod RTX A5000 GPU.
Before we hire:
You must send a before and after audio demo showing accent softening on any Nigerian English voice sample. You do not need our server or infrastructure to do this. Just run a Nigerian English audio sample through your model and send both files. This is how we evaluate all candidates.
Deliverable: One working Python script tested on GPU with latency confirmed under 150ms.
Timeline: 2 to 3 days after demo is approved.
Please include your demo files and your fixed price in your proposal.
The hard part is already done. There is a fully built Node.js server that handles the live call audio. We just need you to write one Python script that plugs into it.
What the script needs to do:
Receive live audio from the server, process it through a voice conversion model to soften the Nigerian accent, and send the processed audio back. The whole process must happen in under 150ms so the conversation feels natural with no delay.
Tech details:
Audio comes in as mulaw 8kHz chunks. You can resample internally for better model performance then convert back before sending out. RVC is the preferred model but we are open to alternatives that meet the latency requirement. Script runs on a RunPod RTX A5000 GPU.
Before we hire:
You must send a before and after audio demo showing accent softening on any Nigerian English voice sample. You do not need our server or infrastructure to do this. Just run a Nigerian English audio sample through your model and send both files. This is how we evaluate all candidates.
Deliverable: One working Python script tested on GPU with latency confirmed under 150ms.
Timeline: 2 to 3 days after demo is approved.
Please include your demo files and your fixed price in your proposal.