spoken-command-recognition
End-to-end audio classification pipeline featuring conditional GPU augmentation, temperature-scaled confidence thresholds, and static INT8…
A new way for AI to search for data
2GitHub stars
What XERJ indexed
Selected work
“Add real-time keyword spotting CLI and update model version to …”. 3 files, 684 lines in the project root, configs.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-20. Same terms as the repository. Answers name the repo, the commit and the file:line.
in licence reviewnot in the hub yetsuggested use: adapt with attribution
Example questions
- What does configs do in spoken-command-recognition?
The prompt
Paste it into your AI agent. It clones Hades-Highness/spoken-command-recognition at the pinned commit and indexes it on your machine.
Search the GitHub repository Hades-Highness/spoken-command-recognition with XERJ (https://hub.xerj.org/corpus/hades-highness--spoken-command-recognition). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/Hades-Highness/spoken-command-recognition spoken-command-recognition && git -C spoken-command-recognition checkout 82866407ee5dc3c5dd36714f2a4dbabdba37e8fb 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./spoken-command-recognition --url http://127.0.0.1:9200 --prefix spoken-command-recogniti --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
Hades HighnessWeb and frontend platform corpora
Selected work and consent: the XERJ registry.