Create README.md

README.md

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+# Audio Recorder and Transcriber
+This is an audio recorder and transcriber application built using Python's Tkinter for the GUI, pyaudio for audio recording, and speech_recognition for transcription. It includes features for recording, playing back audio, uploading audio files, processing audio with noise reduction, and visualizing the waveform.
+
+## Features
+- Audio Recording: Record audio using the microphone with customizable settings (filename, duration, sample rate, chunk size, channels).
+- Waveform Visualization: Visualize the recorded or uploaded audio waveform using matplotlib.
+- Audio Playback: Play back the recorded or uploaded audio directly within the app.
+- Audio Upload: Upload an existing .wav audio file for playback or transcription.
+- Transcription: Automatically transcribe recorded or uploaded audio into text using Google Speech Recognition API.
+- Noise Reduction: Preprocess the audio with a high-pass filter to reduce background noise.
+- Requirements
+- Python 3.x
+
+## The following Python libraries:
+- tkinter (Standard with Python)
+- ttk (Standard with tkinter)
+- pyaudio
+- wave
+- numpy
+- scipy
+- matplotlib
+- speech_recognition
+- pygame
+
+You can install the dependencies using pip:
+
+pip install pyaudio numpy scipy matplotlib speechrecognition pygame
+
+# Usage
+
+- Clone the repository:
+
+  - [git clone https://github.com/Joderick-Sherwin/Speech-To-Text-Convertor](https://github.com/Joderick-Sherwin/Speech-To-Text-Convertor)
+
+- Run the application:
+
+  - python audio_recorder_transcriber.py
+
+- In the app, you can:
+
+  - Set the filename, duration, sample rate, chunk size, and number of channels for recording.
+  - Record audio by clicking Start Recording.
+  - Play back the audio using Play Recording.
+  - Upload audio with the Upload Audio button for transcription.
+  - Transcribe audio using the Transcribe Audio button.
+  - Visualize the waveform of the audio in the graph section.