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### Description
Implement a pipeline for deep learning model training, finetuning, and testing for audio classification tasks
### Tasks
- [ ] Data loading
- [ ] Training/finetuning
- [ ] Testing
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I suspect the current max(freq) strategy for is somewhat unstable, since it just takes the maximum and ignores the frequency.
getByteTimeDomainData may enable us to calculate root mean square accordi…
fippo updated
10 years ago
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We need to convert keras.io examples to work with Keras 3.
This involves two stages:
## Stage 1: tf.keras backwards compatibility check
Keras 3 is intended as a drop-in replacement for tf.ker…
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**Abstract**
This talk covers ensemble learning, a paradigm of machine learning. Ensemble learning consists of combining multiple learning models for predictions, and is a popular method for predic…
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### Name of KCD chapter inquiring about
kCD Guadalajara
### Tell us about yourself. List your name, email, company, GitHub URL, LinkedIn URL, and CNCF Slack workspace name (or if you need to be invi…
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Hello, thanks for your work and code, which help my research a lot. I wonder if you could provide the fine-tuned model?
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Hi,
#1 - nuget for visual studio 2019 did NOT work. Kept telling me it couldn't find it when it was clearly there. I got around that by compiling for C#sharp (the command "mcs" was incorrect. I use…
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Hi, I am trying to use pySLGR to develop a audio to text transcription system. After going through the example programs and documentation, I was wondering does pySLGR provide methods only for feature …
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Following [this discussion and my comment](https://github.com/DFRobot/DFRobot_DF2301Q/issues/1) :
It would be very very valuable if we could have access to the raw audio after a wake word.
For ins…
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Rhasspy lacks a noise reduction system and extraneous sounds, as it is used in the built-in module-echo-cancel for PulseAudio. This module works very well, perfectly cuts out noise. I added noise redu…