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michaelgetachew-abebe/Text-to-Speech-Data-Collection-Kafka-Airflow-Spark

Domain:

natural language processing
Creator:
mic
Host:
Recognizing the value of large data sets for speech-to-text data sets, and seeing the opportunity that there are many text corpuses for Amharic and Swahili languages, this project aims to design and build a robust, large scale, fault tolerant, highly available Kafka cluster that can be used to post a sentence and receive an audio file. By the end o # Text-to-Speech-Data-Collection-Kafka-Airflow-Spark

Visit

github.com

Tasks

speech processingtext to speech

Languages

AmharicSwahili

Licenses

MIT