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orcasound / aifororcas-livesystem

Real-time AI-assisted killer whale notification system (model and moderator portal) :star:
http://orcahello.ai4orcas.net/
MIT License
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OrcaHello false negative event: SRKWs at Orcasound Lab on 11/9/21 #78

Open scottveirs opened 3 years ago

scottveirs commented 3 years ago

For this brief (<10 min-long) event, I received no notification as a moderator, nor did the OrcaHello system seem to create any candidates that are visible within the moderator portal.

Having reviewed much of the continuous recording, I believe there are many SRKW calls that would have been detected by the system as it was performing in late 2020 and early 2021. The signal to noise ratio was intermediate and many calls were 100% recognizable as those from SRKWs.

Which hydrophone? Orcasound Lab (Haro Strait)

When did the KW event start? 11/9/2021 | 15:48:00

When did the KW event end? 11/9/2021 | 15:57:00

What was the nature of the event? About 8 minutes of SRKW signals at intermediate to high SNR. Signals included an unusually wide variety of SRKW calls. An Orcasound listener annotated the live audio data at 15:58:16. I reviewed continuous recording and heard lots of calls, nearly continuous sometimes and often overlapping. I noted a surprisingly high % of S10 excitement calls, some S01s, S16s, S17s?, and 3 S04s at the end.

Was the container running? (If you have this info?) TBD

Here is a link to a the continuous recording (HLS segments transcoded to .ogg and .mp3). There is also a set of preliminary annotations there in Audacity label track format.

scottveirs commented 3 years ago

@prakruti I just realized I should ask a question: By Was the container running? (If you have this info?) do you mean the streaming container on the Raspberry Pi at the hydrophone node, or the container(s) of the inference system running on Azure (via Kubernetes or ACI)?

prakruti commented 3 years ago

@prakruti I just realized I should ask a question: By Was the container running? (If you have this info?) do you mean the streaming container on the Raspberry Pi at the hydrophone node, or the container(s) of the inference system running on Azure (via Kubernetes or ACI)?

Hi @scottveirs , I meant the inference system containers.