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Audio transcribed to speech

Jupyter Notebook 67.31% Python 1.87% HTML 30.82%
msds434 northwestern-university flask-application speech-recognition speech-to-text final final-project

msds-434-malimi's Introduction

NU_434_Project

Information about project:

This is a Speech analysis project, specifically looking at audio files and identifying the text within that audio file while analyzing the accuracy of the text from the audio file.

Everyone who speaks a language, speaks it with an accent. A particular accent essentially reflects a person's linguistic background. When people listen to someone speak with a different accent from their own, they notice the difference, and they may even make certain biased social judgments about the speaker.

The speech accent archive is established to uniformly exhibit a large set of speech accents from a variety of language backgrounds. Native and non-native speakers of English all read the same English paragraph and are carefully recorded. The archive is constructed as a teaching tool and as a research tool. It is meant to be used by linguists as well as other people who simply wish to listen to and compare the accents of different English speakers.

Make sure you upload a .wav file, you can download the audio file in the github account under Audio here: https://github.com/motolanialimi/NU_434_Project1/tree/main/Audio or download an .mp3 audio file and convert it to .wav file.

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