Voice-to-text conversion

[ananyag309]

Description
This project aims to build a speech recognition model that can convert spoken language (audio input) into written text. The model uses techniques from Natural Language Processing (NLP) and deep learning to process audio data and predict corresponding text. It is based on the principles of speech-to-text algorithms and Recurrent Neural Networks (RNNs).

Model Architecture
The model consists of RNN layers (such as LSTM or GRU) for processing the sequence data.
The final layer is a dense layer with a softmax activation for predicting the probability distribution over the vocabulary.
Connectionist Temporal Classification (CTC) loss function is used to handle the alignment between input audio sequences and output text sequences.

[github-actions]

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[UppuluriKalyani]

@ananyag309 arey ananaya you are raising already existed one's please check and raise

[github-actions]

Hello @ananyag309! Your issue #617 has been closed. Thank you for your contribution!

[ananyag309]

@UppuluriKalyani
We have text to speech, there are none for speech to text.