Search Results - "Biqiao Zhang"

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  1. 1

    Cross-corpus acoustic emotion recognition from singing and speaking: A multi-task learning approach by Biqiao Zhang, Provost, Emily Mower, Essl, Georg

    “…Emotion is expressed over both speech and song. Previous works have found that although spoken and sung emotion recognition are different tasks, they are…”
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    Conference Proceeding Journal Article
  2. 2

    Recognizing emotion from singing and speaking using shared models by Biqiao Zhang, Essl, Georg, Provost, Emily Mower

    “…Speech and song are two types of vocal communications that are closely related to each other. While significant progress has been made in both speech and music…”
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    Conference Proceeding Journal Article
  3. 3

    Cross-Corpus Acoustic Emotion Recognition with Multi-Task Learning: Seeking Common Ground While Preserving Differences by Zhang, Biqiao, Provost, Emily Mower, Essl, Georg

    Published in IEEE transactions on affective computing (01-01-2019)
    “…There is growing interest in emotion recognition due to its potential in many applications. However, a pervasive challenge is the presence of data variability…”
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    Journal Article
  4. 4

    Exploiting Acoustic and Lexical Properties of Phonemes to Recognize Valence from Speech by Zhang, Biqiao, Khorram, Soheil, Provost, Emily Mower

    “…Emotions modulate speech acoustics as well as language. The latter influences the sequences of phonemes that are produced, which in turn further modulate the…”
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    Conference Proceeding
  5. 5

    Disentangled Training with Adversarial Examples for Robust Small-Footprint Keyword Spotting by Wang, Zhenyu, Wan, Li, Zhang, Biqiao, Huang, Yiteng, Li, Shang-Wen, Sun, Ming, Lei, Xin, Yang, Zhaojun

    “…A keyword spotting (KWS) engine continuously running on the device is exposed to various speech signals that are usually unseen beforehand. It is a challenging…”
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    Conference Proceeding
  6. 6

    Spatial Attention for Far-Field Speech Recognition with Deep Beamforming Neural Networks by He, Weipeng, Lu, Lu, Zhang, Biqiao, Mahadeokar, Jay, Kalgaonkar, Kaustubh, Fuegen, Christian

    “…In this paper, we introduce spatial attention for refining the information in multi-direction neural beamformer for far-field automatic speech recognition…”
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    Conference Proceeding
  7. 7

    Effective Integration of KAN for Keyword Spotting by Xu, Anfeng, Zhang, Biqiao, Kong, Shuyu, Huang, Yiteng, Yang, Zhaojun, Srivastava, Sangeeta, Sun, Ming

    Published 13-09-2024
    “…Keyword spotting (KWS) is an important speech processing component for smart devices with voice assistance capability. In this paper, we investigate if…”
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    Journal Article
  8. 8

    Query-by-Example Keyword Spotting Using Spectral-Temporal Graph Attentive Pooling and Multi-Task Learning by Wang, Zhenyu, Kong, Shuyu, Wan, Li, Zhang, Biqiao, Huang, Yiteng, Jin, Mumin, Sun, Ming, Lei, Xin, Yang, Zhaojun

    Published 26-08-2024
    “…INTERSPEECH 2024 Existing keyword spotting (KWS) systems primarily rely on predefined keyword phrases. However, the ability to recognize customized keywords is…”
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    Journal Article
  9. 9

    Disentangled Training with Adversarial Examples For Robust Small-footprint Keyword Spotting by Wang, Zhenyu, Wan, Li, Zhang, Biqiao, Huang, Yiteng, Li, Shang-Wen, Sun, Ming, Lei, Xin, Yang, Zhaojun

    Published 23-08-2024
    “…ICASSP 2023 A keyword spotting (KWS) engine that is continuously running on device is exposed to various speech signals that are usually unseen before. It is a…”
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    Journal Article
  10. 10

    LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword Spotting by Yang, Haichuan, Yang, Zhaojun, Wan, Li, Zhang, Biqiao, Shi, Yangyang, Huang, Yiteng, Enchev, Ivaylo, Tang, Limin, Alvarez, Raziel, Sun, Ming, Lei, Xin, Krishnamoorthi, Raghuraman, Chandra, Vikas

    Published 08-11-2022
    “…This paper proposes a hardware-efficient architecture, Linearized Convolution Network (LiCo-Net) for keyword spotting. It is optimized specifically for…”
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    Journal Article
  11. 11

    Spatial Attention for Far-field Speech Recognition with Deep Beamforming Neural Networks by He, Weipeng, Lu, Lu, Zhang, Biqiao, Mahadeokar, Jay, Kalgaonkar, Kaustubh, Fuegen, Christian

    Published 05-11-2019
    “…In this paper, we introduce spatial attention for refining the information in multi-direction neural beamformer for far-field automatic speech recognition…”
    Get full text
    Journal Article