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Showing 1 to 3 of 3 for “"Connectionist Temporal Classification"”.
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A continuous silent speech recognition system for AlterEgo, a silent speech interface
… a deep convolutional neural network (CNN) with connectionist temporal classification (CTC). I also share the results of various feature selection and visualization techniques, an experiment to quantify electrode contribution, and the use of a language model to boost transcription accuracy by …
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Dealing with linguistic mismatches for automatic speech recognition
… end-to-end acoustic modeling approach based on connectionist temporal classification loss and propose to link the training of acoustics and accent altogether in a manner similar to the learning process in human speech perception. This joint model not only performed well on ASR with multiple …
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Speech recognition with probabilistic transcriptions and end-to-end systems using deep learning
… known as E2E systems and one such system is the Connectionist Temporal Classification (CTC). However, one drawback of CTC is the hard alignment problem as it relies only on the current input to generate the current output. In reality, the output at the current time is influenced not only by the …