Speech emotion recognition using optimized genetic algorithm-extreme learning machine
Abstract Automatic Emotion Speech Recognition (ESR) is considered as an active research
field in the Human-Computer Interface (HCI). Typically, the ESR system is consisting of two …
field in the Human-Computer Interface (HCI). Typically, the ESR system is consisting of two …
Extreme learning machine for automatic language identification utilizing emotion speech data
The technique used for recognizing a language by utilizing pronounced speech is called
spoken Language Identification (LID). This field has a high significance in the interaction …
spoken Language Identification (LID). This field has a high significance in the interaction …
Proposed combination of PCA and MFCC feature extraction in speech recognition system
In speech recognition system, the Mel Frequency Cepstrum Coefficients (ie MFCC) feature
extraction is an important process. It has also been wildly used in many applications. In this …
extraction is an important process. It has also been wildly used in many applications. In this …
A hybrid method for crude oil price direction forecasting using multiple timeframes dynamic time wrapping and genetic algorithm
This study proposes a hybrid method based on similarity measurement of time series from
multiple timeframes to predict direction changes of crude oil price, as well as executing …
multiple timeframes to predict direction changes of crude oil price, as well as executing …
Speech recognition system and method using an adaptive incremental learning approach
J Gemmeke, ONS Bart, H Van Hamme - US Patent 10,573,304, 2020 - Google Patents
The present disclosure relates to speech recognition systems and methods using an
adaptive incremental learning approach. More specifically, the present disclosure relates to …
adaptive incremental learning approach. More specifically, the present disclosure relates to …
Deep learning assessment of syllable affiliation of intervocalic consonants
Z Liu, Y Xu - The Journal of the Acoustical Society of America, 2023 - pubs.aip.org
In English, a sentence like “He made out our intentions.” could be misperceived as “He may
doubt our intentions.” because the coda/d/sounds like it has become the onset of the next …
doubt our intentions.” because the coda/d/sounds like it has become the onset of the next …
Feature trajectory dynamic time warping for clustering of speech segments
Dynamic time warping (DTW) can be used to compute the similarity between two sequences
of generally differing length. We propose a modification to DTW that performs individual and …
of generally differing length. We propose a modification to DTW that performs individual and …
A real-time spike classification method based on dynamic time warping for extracellular enteric neural recording with large waveform variability
Background Computationally efficient spike recognition methods are required for real-time
analysis of extracellular neural recordings. The enteric nervous system (ENS) is important to …
analysis of extracellular neural recordings. The enteric nervous system (ENS) is important to …
A new hybrid framework based on Hidden Markov models and K-nearest neighbors for speech recognition
Hidden Markov models (HMM) have proved their success in several research areas,
especially in speech recognition field. However, the major drawback of HMM classifier, is its …
especially in speech recognition field. However, the major drawback of HMM classifier, is its …
Textual echo cancellation
In this paper, we propose Textual Echo Cancellation (TEC)-a framework for cancelling the
text-to-speech (TTS) playback echo 1 1 TTS playback denotes the synthesized TTS voice …
text-to-speech (TTS) playback echo 1 1 TTS playback denotes the synthesized TTS voice …