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Found 7 papers, 0 papers with code
End-to-End Evaluation for Low-Latency Simultaneous Speech Translation
Secondly, we compare different approaches to low-latency speech translation using this framework.
Face-Dubbing++: Lip-Synchronous, Voice Preserving Translation of Videos
The system is designed to combine multiple component models and produces a video of the original speaker speaking in the target language that is lip-synchronous with the target speech, yet maintains emphases in speech, voice characteristics, face video of the original speaker.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+6
Error correction and extraction in request dialogs
If yes, it corrects the second last utterance according to the error correction in the last utterance and outputs the extracted pairs of reparandum and repair entity.
Bimodal Speech Emotion Recognition Using Pre-Trained Language Models
Speech emotion recognition is a challenging task and an important step towards more natural human-machine interaction.
Incremental processing of noisy user utterances in the spoken language understanding task
The state-of-the-art neural network architectures make it possible to create spoken language understanding systems with high quality and fast processing time.
Natural Language Understanding
Spoken Language Understanding
Multi-task learning to improve natural language understanding
When building a neural network-based Natural Language Understanding component, one main challenge is to collect enough training data.
An End-to-End Goal-Oriented Dialog System with a Generative Natural Language Response Generation
Furthermore, by using a feedforward neural network, we are able to generate the output word by word and are no longer restricted to a fixed number of possible response candidates.
