DownloadSpeechalyzer: a tool for the daily work of a 'speech worker'
It is optimized to process large speech data sets with respect to transcription, labeling and annotation.
It is implemented as a client server based framework in Java and interfaces software for speech recognition,
synthesis, speech classification and quality evaluation.
The application is mainly the processing of training data for speech recognition and classification models and performing benchmarking tests on speech-to-text, text-to-speech and speech classification software systems.
Features
- speech data annotation
- speech data labeling
- speech data classification
- speech data evaluation
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