Automatic speech recognition system for tonal languages: State-of-the-art survey
Natural language and human–machine interaction is a very much traversed as well as
challenging research domain. However, the main objective is of getting the system that can …
challenging research domain. However, the main objective is of getting the system that can …
[PDF][PDF] Data augmentation, feature combination, and multilingual neural networks to improve ASR and KWS performance for low-resource languages.
This paper presents the progress of acoustic models for lowresourced languages
(Assamese, Bengali, Haitian Creole, Lao, Zulu) developed within the second evaluation …
(Assamese, Bengali, Haitian Creole, Lao, Zulu) developed within the second evaluation …
Compensating for speaker or lexical variabilities in speech for emotion recognition
Affect recognition is a crucial requirement for future human machine interfaces to effectively
respond to nonverbal behaviors of the user. Speech emotion recognition systems analyze …
respond to nonverbal behaviors of the user. Speech emotion recognition systems analyze …
Multilingual MRASTA features for low-resource keyword search and speech recognition systems
This paper investigates the application of hierarchical MRASTA bottleneck (BN) features for
under-resourced languages within the IARPA Babel project. Through multilingual training of …
under-resourced languages within the IARPA Babel project. Through multilingual training of …
Mandarin tone classification without pitch tracking
A deep neural network (DNN) based classifier achieved 27.38% frame error rate (FER) and
15.62% segment error rate (SER) in recognizing five tonal categories in Mandarin Chinese …
15.62% segment error rate (SER) in recognizing five tonal categories in Mandarin Chinese …
Improving mandarin tone recognition based on dnn by combining acoustic and articulatory features using extended recognition networks
In this paper, we investigate the effectiveness of articulatory information for Mandarin tone
modeling and recognition in a deep neural network–hidden Markov model (DNN-HMM) …
modeling and recognition in a deep neural network–hidden Markov model (DNN-HMM) …
[PDF][PDF] Tone Classification in Mandarin Chinese Using Convolutional Neural Networks.
In tone languages, different tone patterns of the same syllable may convey different
meanings. Tone perception is important for sentence recognition in noise conditions …
meanings. Tone perception is important for sentence recognition in noise conditions …
[PDF][PDF] Highly accurate mandarin tone classification in the absence of pitch information
A deep neural network (DNN) classifier based only on 40 mel-frequency cepstral coefficients
(MFCCs) achieved 29.99% frame error rate (FER) and 16.86% segment error rate (SER) in …
(MFCCs) achieved 29.99% frame error rate (FER) and 16.86% segment error rate (SER) in …
Prosody features based low resource Punjabi children ASR and T-NT classifier using data augmentation
Automatic children speech recognition is always challenging due to limited corpus and
varying acoustic features. One among those is zero speech corpus and large acoustic …
varying acoustic features. One among those is zero speech corpus and large acoustic …
English broadcast news speech recognition by humans and machines
With recent advances in deep learning, considerable attention has been given to achieving
automatic speech recognition performance close to human performance on tasks like …
automatic speech recognition performance close to human performance on tasks like …