Artificial Neural Network

method ID: artificialneuralnetwork

Related Papers

Signal Representation Attribute Extraction and the Use Distinctive Features for Phonetic Classification

Authors: nan

Publication: TIPSTER (1991)

DOI: nan

The study reported in this paper addresses three issues related to phonetic classification: 1) whether it is important to choose an appropriate signal representation, 2) whether there are any ad- …...

7352

Evolution of a Rapidly Learned Representation for Speech

Authors: nan

Publication: TIPSTER (1997)

DOI: nan

Newly born infants are able to finely discriminate almost all human speech contrasts and their phonemic category boundaries are initially identical, even for phonemes outside their target language. A connectionist …...

41407

High Performance Segmentation of Spontaneous Speech Using Part of Speech and Trigger Word Information

Authors: nan

Publication: TIPSTER (1997)

DOI: nan

We describe and experimentally evaluate an efficient method for automatically de- termining small clause boundaries in spon- taneous speech. Our method applies an ar- tificial neural network to information about …...

41533

IHS-RD-Belarus at SemEval-2016 Task 5: Detecting Sentiment Polarity Using the Heatmap of Sentence

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

This paper describes the system submitted by IHS-RD-Belarus team for the sentiment detec- tion polarity subtask on Aspect Based Senti- ment Analysis task at the SemEval 2016 workshop on semantic …...

22539

Incorporating speaker embedding and post-filter network for improving speaker similarity of personalized speech synthesis system

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractIn recent years, speech synthesis system can generate speech with high speech quality. However, multi-speaker text-to-speech (TTS) system still require large amount of speech data for each target speaker. In …...

1042