Add to ORKGSpeech signal is a rich source of information and convey more than spoken words, and can be divided into two main groups: linguistic and nonlinguistic. The linguistic aspects of speech include the properties of the speech signal and word sequence and deal with what is being said. The nonlinguistic properties of speech have more to do with talker attribute
Speech is the most effective means for humans to communicate their ideas and emotions across a varie...
Over the past decade, there has been good progress on English conversational telephone speech (CTS) ...
In speaker-independent speech recognition, the disadvantage of the most diffused technology (HMMs, o...
ii In this thesis, the emotion recognition from noisy Mandarin speech is realized. This thesis propo...
Emotion plays a significant role in cognitive psychology, behavioural sciences and humanoid robot de...
AbstractIn the paper, modulation spectral features (MSFs) are proposed for the automatic emotional r...
In this paper, a novel approach for mandarin speech emotion recognition, that is mandarin speech emo...
In this paper, a basic Mandarin broadcast news speech recognition system is constructed using the MA...
[[abstract]]This paper proposes a novel high-performance NN-based isolated word speech recognition m...
Speech processing is the study of speech signals, and the methods used to process them. In applicati...
Abstract Accurate emotion recognition from speech is important for applications like smart health c...
Acoustic temporal envelope (E) cues containing speech information are distributed across the frequen...
Prosodic features have been proven important to discriminate between different speech emotions, but ...
This study investigates the functions of speech act markers in Mandarin Chinese and develops a syste...
In speaker-independent speech recognition, the disadvantage of the most diffused technology ( Hidden...
Speech is the most effective means for humans to communicate their ideas and emotions across a varie...
Over the past decade, there has been good progress on English conversational telephone speech (CTS) ...
In speaker-independent speech recognition, the disadvantage of the most diffused technology (HMMs, o...
ii In this thesis, the emotion recognition from noisy Mandarin speech is realized. This thesis propo...
Emotion plays a significant role in cognitive psychology, behavioural sciences and humanoid robot de...
AbstractIn the paper, modulation spectral features (MSFs) are proposed for the automatic emotional r...
In this paper, a novel approach for mandarin speech emotion recognition, that is mandarin speech emo...
In this paper, a basic Mandarin broadcast news speech recognition system is constructed using the MA...
[[abstract]]This paper proposes a novel high-performance NN-based isolated word speech recognition m...
Speech processing is the study of speech signals, and the methods used to process them. In applicati...
Abstract Accurate emotion recognition from speech is important for applications like smart health c...
Acoustic temporal envelope (E) cues containing speech information are distributed across the frequen...
Prosodic features have been proven important to discriminate between different speech emotions, but ...
This study investigates the functions of speech act markers in Mandarin Chinese and develops a syste...
In speaker-independent speech recognition, the disadvantage of the most diffused technology ( Hidden...
Speech is the most effective means for humans to communicate their ideas and emotions across a varie...
Over the past decade, there has been good progress on English conversational telephone speech (CTS) ...
In speaker-independent speech recognition, the disadvantage of the most diffused technology (HMMs, o...