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 |
|---|---|---|
| Chutlhu/dEchorate | canonical | 0 of 1 |
| Function | Status | Where it lives |
|---|---|---|
| get_zipped_file | Not yet run | Chutlhu/dEchorate/dechorate/main_build_sound_datasets.py code served (permissive licence) · get_code("78a003bb149013c8") |
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This paper presents dEchorate: a new database of measured multichannel Room Impulse Responses (RIRs) including annotations of early echo timings and 3D positions of microphones, real sources and image sources under different wall configurations in a cuboid room. These data provide a tool for benchmarking recent methods in echo-aware speech enhancement, room geometry estimation, RIR estimation, acoustic echo retrieval, microphone calibration, echo labeling and reflectors estimation. The database is accompanied with software utilities to easily access, manipulate and visualize the data as well as baseline methods for echo-related tasks.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2104.13168")
get_code_for_paper("2104.13168")
have("2104.13168")
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