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Title: Secure Identity and Context in Microservices with Tratteria
Speakers: Atul Tulshibagwale/tulshi
Description:
[Tratteria](https://tratteria.io/) implements a new IETF OAuth WG draft call…
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Hi,
I'm unable to find the paper "Adversarial Attacks on Spoofing Countermeasures of automatic speaker verification". Is it supposed to be on arXiv?
Second question, do you have a more detailed …
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### Bug Description
### Problem
Job audio/speaker-headphone-plug-detection failed since the Sink from `pactl` command doesn't change after plugging the 3.5mm jack headset to RPI 4.
### What I…
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hyperpyyaml
>>Performing transcription...
>>Performing alignment...
>>Performing diarization...
Lightning automatically upgraded your loaded checkpoint from v1.5.4 to v2.0.2. To apply the upgrad…
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When I run the python usage example:
```
# 3. Assign speaker labels
diarize_model = whisperx.DiarizationPipeline(use_auth_token="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", device=device)
# add mi…
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Here is the result for [SemantiCodec](https://haoheliu.github.io/SemantiCodec/)
This is a 16Khz codec with three different bit rates:
1. For token rate 100 with book size 16384 the bit rate is 1.35 …
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for the 16kHz Codec model: the bitrate is 2kbps;
for the 44.1kHz Codec model: the bitrate is 6.89kbps;
for the 48kHz Codec model: the bitrate is 7.5kbps;
#1、Here is the exps/results.txt
Codec SU…
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It would be great if we could add the ability to use more of the feature sets from the openWakeWord project like Custom Verifies, as per [Custom Verifier Models](https://github.com/dscripka/openWakeWo…
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# 16 kHz 2kbps
## parameter size:
encoder (including quantizer) : 29MB decoder: 40MB
### exps/results.txt
Codec SUPERB application evaluation
Stage 1: Run speech emotion recognition.
Acc: 74.…