We lifted 1 functions out of this paper's own repositories and ran 0 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.
| Repository | Role | Ran |
|---|---|---|
| voice-privacy-challenge/voice-privacy-challenge-2024 | canonical | 0 of 1 |
| Function | Status | Where it lives |
|---|---|---|
| get_evaluation_steps | Not yet run | voice-privacy-challenge/voice-privacy-challenge-2024/run_evaluation.py pointer only (licence: NONE) · get_code("1fe3240ec5595e65") |
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The task of the challenge is to develop a voice anonymization system for speech data which conceals the speaker's voice identity while protecting linguistic content and emotional states. The organizers provide development and evaluation datasets and evaluation scripts, as well as baseline anonymization systems and a list of training resources formed on the basis of the participants' requests. Participants apply their developed anonymization systems, run evaluation scripts and submit evaluation results and anonymized speech data to the organizers. Results will be presented at a workshop held in conjunction with Interspeech 2024 to which all participants are invited to present their challenge systems and to submit additional workshop papers.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2404.02677")
get_code_for_paper("2404.02677")
have("2404.02677")
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