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u/saikat_munshib

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MAKAUT Officially Revoked the Odd Semester Enrolment Fee! (Official KGEC Notice Inside)
▲ 33 r/makaut

MAKAUT Officially Revoked the Odd Semester Enrolment Fee! (Official KGEC Notice Inside)

KGEC just released an official notice confirming that the MAKAUT Controller of Examinations has officially revoked the odd semester enrolment fee for regular students.

​The details about the cancellation and exactly how they are adjusting the fees for those who already paid are explicitly written in the notice, so just give the image a read.

​Has your college administration released their official circular yet?

u/saikat_munshib — 7 days ago
▲ 6 r/speechtech

Best open-source clean speech and ambient noise datasets for training an Edge AI audio denoiser?

I am building an edge-AI audio noise-reduction system on an ESP32-S3.

Our architecture uses a lightweight GRUNet (\~59k parameters) to output a dynamic gain mask on a 44-band Mel-spectrogram.

​I need gigabytes of audio to train the model. Does anyone have recommendations for the best open-source datasets for:

1> ​Clean, isolated human speech.

2> ​Diverse ambient background noise (traffic, crowds, machinery, etc.).

​Also, any tips or open-source scripts for artificially mixing these at different Signal-to-Noise Ratios (SNRs) before generating the 16kHz Mel-spectrograms would be hugely appreciated!

reddit.com
u/saikat_munshib — 22 days ago
▲ 3 r/ResearchML

Best open-source clean speech and ambient noise datasets for training an Edge AI audio denoiser?

I am building an edge-AI audio noise-reduction system on an ESP32-S3.

Our architecture uses a lightweight GRUNet (~59k parameters) to output a dynamic gain mask on a 44-band Mel-spectrogram.

​I need gigabytes of audio to train the model. Does anyone have recommendations for the best open-source datasets for:

1> ​Clean, isolated human speech.

2> ​Diverse ambient background noise (traffic, crowds, machinery, etc.).

​Also, any tips or open-source scripts for artificially mixing these at different Signal-to-Noise Ratios (SNRs) before generating the 16kHz Mel-spectrograms would be hugely appreciated!

reddit.com
u/saikat_munshib — 22 days ago
▲ 5 r/ArtificialNtelligence

Best open-source clean speech and ambient noise datasets for training an Edge AI audio denoiser?

I am building an edge-AI audio noise-reduction system on an ESP32-S3.

Our architecture uses a lightweight GRUNet (~59k parameters) to output a dynamic gain mask on a 44-band Mel-spectrogram.

​I need gigabytes of audio to train the model. Does anyone have recommendations for the best open-source datasets for:

1> ​Clean, isolated human speech.

2> ​Diverse ambient background noise (traffic, crowds, machinery, etc.).

​Also, any tips or open-source scripts for artificially mixing these at different Signal-to-Noise Ratios (SNRs) before generating the 16kHz Mel-spectrograms would be hugely appreciated!

reddit.com
u/saikat_munshib — 22 days ago
▲ 3 r/deeplearning

Best open-source clean speech and ambient noise datasets for training an Edge AI audio denoiser?

I am building an edge-AI audio noise-reduction system on an ESP32-S3.

Our architecture uses a lightweight GRUNet (~59k parameters) to output a dynamic gain mask on a 44-band Mel-spectrogram.

​I need gigabytes of audio to train the model. Does anyone have recommendations for the best open-source datasets for:

1> ​Clean, isolated human speech.

2> ​Diverse ambient background noise (traffic, crowds, machinery, etc.).

​Also, any tips or open-source scripts for artificially mixing these at different Signal-to-Noise Ratios (SNRs) before generating the 16kHz Mel-spectrograms would be hugely appreciated!

reddit.com
u/saikat_munshib — 22 days ago
▲ 3 r/MLQuestions

Best open-source clean speech and ambient noise datasets for training an Edge AI audio denoiser?

I am building an edge-AI audio noise-reduction system on an ESP32-S3.

Our architecture uses a lightweight GRUNet (~59k parameters) to output a dynamic gain mask on a 44-band Mel-spectrogram.

​I need gigabytes of audio to train the model. Does anyone have recommendations for the best open-source datasets for:

1> ​Clean, isolated human speech.

2> ​Diverse ambient background noise (traffic, crowds, machinery, etc.).

​Also, any tips or open-source scripts for artificially mixing these at different Signal-to-Noise Ratios (SNRs) before generating the 16kHz Mel-spectrograms would be hugely appreciated!

reddit.com
u/saikat_munshib — 22 days ago
▲ 1 r/datasets

Best open-source clean speech and ambient noise datasets for training an Edge AI audio denoiser?

We are building an edge-AI audio noise-reduction system on an ESP32-S3.

Our architecture uses a lightweight GRUNet (~59k parameters) to output a dynamic gain mask on a 44-band Mel-spectrogram.

​I need gigabytes of audio to train the model. Does anyone have recommendations for the best open-source datasets for:

1> ​Clean, isolated human speech.

2> ​Diverse ambient background noise (traffic, crowds, machinery, etc.).

​Also, any tips or open-source scripts for artificially mixing these at different Signal-to-Noise Ratios (SNRs) before generating the 16kHz Mel-spectrograms would be hugely appreciated!

reddit.com
u/saikat_munshib — 22 days ago
▲ 5 r/makaut

New Admit Card for Rescheduled Exams (14th July)

Download the new admit card from the official MAKAUT portal. This applies to all even-semester students whose exams were rescheduled from 6th July to 14th July 2026.

​Important: Make sure you carry BOTH the new admit card and the old admit card to the examination center!

reddit.com
u/saikat_munshib — 1 month ago