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README.md

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+Introducing a novel accent database "IndicAccentDB" which satisfies the below requirements:
+• Gender balance: The speech database should be a collection of a wide range of speakers balancing both the male and female speakers to display the characteristics of the speakers’ speech.
+• Phonetically balanced uniform content: To make the classification task simpler and models to distinguish the speakers, we considered building the IndicAccentDB with uniform content, a collection of speech recordings for
+the Harvard sentences. These sentences gather intrinsic information by combining different phonemes and grammatically focused vocabulary. These sentences are appropriately expressing accents in sentence-level discourse.
+Below are the sample Harvard sentences recited by the speakers in the recordings.
+
+IndicAccentDB contains speech recordings in six non-native English accents of Gujarati, Hindi, Kannada, Malayalam, Tamil, and Telugu. We collected six non-native accents from volunteers who had strong non-native
+English accents and were well-versed in speaking at least one Indian language. Each speaker was asked to recite the Harvard sentences. The Harvard sentences dataset consists of 72 sets
+of ten sentences each and is phonetically balanced sentences that are neither too short nor too long.
+
+Take a read at: https://ieeexplore.ieee.org/document/9844177