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A Deep-Learning-Based Chinese Speech Recognition System
ASRT is an end-to-end deep-learning Chinese ASR system built with TensorFlow/Keras, using convolution + CTC and a Max-Entropy HMM language model. It provides a REST/gRPC server backend and client SDKs in multiple languages (Python, Java, Go, Windows). Notably lightweight, it performs well without needing GPU acceleration and runs across platforms, targeting developers and researchers building Chinese voice interfaces.
Process large speech data wrt transcription, labeling and annotation
Speechalyzer: 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 clientserver 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...
Hemera is a Virtual Intelligent System aggregating some more advanced Artificial Intelligence Technologies (speech, speech recognition, form recognition, motion recognition ...); with applications in daily tasks, domotics and robotics ...