- Designed and developed an interface for the dataset collection phase to collect voice samples from users using ffmpeg and PyQt GUI.
- Built a speech to text conversion model using Bi-Directional LSTM with Attention in Tensorflow and Keras.
- Developed a cross-platform user interface using PyQt GUI that allows users to interact with the voice assistant.
- The commands spoken out by the user is executed in the background using the Python OS and sys package.
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Designed and developed an interface for the dataset collection phase to collect voice samples from users using ffmpeg and PyQt GUI. Built a speech to text conversion model using Bi-Directional LSTM with Attention in Tensorflow and Keras. Developed a cross-platform user interface using PyQt GUI that allows users to interact with the voice assista…
sudhanvaghebbale/ACVA--A-Cross-Platform-Voice-Assistant
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Designed and developed an interface for the dataset collection phase to collect voice samples from users using ffmpeg and PyQt GUI. Built a speech to text conversion model using Bi-Directional LSTM with Attention in Tensorflow and Keras. Developed a cross-platform user interface using PyQt GUI that allows users to interact with the voice assista…
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