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The role of object novelty and pragmatic reasoning in referent selection and word learning (Study 2b) ...
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MORPHOLOGICAL AND IDENTITY PRIMING IN WORD LEARNING AND TEXT READING AS A WINDOW INTO THE MENTAL LEXICON
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Data From: A Protracted Developmental Trajectory for English-Learning Children’s Detection of Consonant Mispronunciations in Newly Learned Words
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In: Speech and Hearing Sciences Faculty Datasets (2022)
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Xie, X., Liu, L., & Jaeger, T. F. (2021-JEP:G). Cross-talker generalization in the perception of non-nativespeech: a large-scale replication ...
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Preschool Children’s Processing of Events during Verb Learning: Is the Focus on People (Faces) or Their Actions (Hands)?
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In: Brain Sciences; Volume 12; Issue 3; Pages: 344 (2022)
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Analysis of the Effects of Lockdown on Staff and Students at Universities in Spain and Colombia Using Natural Language Processing Techniques
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 9; Pages: 5705 (2022)
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| 9 |
Deep Sentiment Analysis Using CNN-LSTM Architecture of English and Roman Urdu Text Shared in Social Media
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In: Applied Sciences; Volume 12; Issue 5; Pages: 2694 (2022)
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| 10 |
Vec2Dynamics: A Temporal Word Embedding Approach to Exploring the Dynamics of Scientific Keywords—Machine Learning as a Case Study
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In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 21 (2022)
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Methods, Models and Tools for Improving the Quality of Textual Annotations
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In: Modelling; Volume 3; Issue 2; Pages: 224-242 (2022)
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TASE: Task-Aware Speech Enhancement for Wake-Up Word Detection in Voice Assistants
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In: Applied Sciences; Volume 12; Issue 4; Pages: 1974 (2022)
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Abstract:
Wake-up word spotting in noisy environments is a critical task for an excellent user experience with voice assistants. Unwanted activation of the device is often due to the presence of noises coming from background conversations, TVs, or other domestic appliances. In this work, we propose the use of a speech enhancement convolutional autoencoder, coupled with on-device keyword spotting, aimed at improving the trigger word detection in noisy environments. The end-to-end system learns by optimizing a linear combination of losses: a reconstruction-based loss, both at the log-mel spectrogram and at the waveform level, as well as a specific task loss that accounts for the cross-entropy error reported along the keyword spotting detection. We experiment with several neural network classifiers and report that deeply coupling the speech enhancement together with a wake-up word detector, e.g., by jointly training them, significantly improves the performance in the noisiest conditions. Additionally, we introduce a new publicly available speech database recorded for the Telefónica’s voice assistant, Aura. The OK Aura Wake-up Word Dataset incorporates rich metadata, such as speaker demographics or room conditions, and comprises hard negative examples that were studiously selected to present different levels of phonetic similarity with respect to the trigger words “OK Aura”.
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Keyword:
convolutional neural network; deep learning; keyword spotting; speech enhancement; wake-up word
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URL: https://doi.org/10.3390/app12041974
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| 14 |
Stimulus and response conflict from a second language: Stroop interference in weakly-bilingual and recently-trained languages
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In: ISSN: 0001-6918 ; EISSN: 1873-6297 ; Acta Psychologica ; https://hal.archives-ouvertes.fr/hal-03356475 ; Acta Psychologica, Elsevier, 2021, 218, pp.103360. ⟨10.1016/j.actpsy.2021.103360⟩ (2021)
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Variation in phonological bias: Bias for vowels, rather than consonants or tones in lexical processing by Cantonese-learning toddlers
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-02997489 ; Cognition, Elsevier, 2021, 213, pp.104486. ⟨10.1016/j.cognition.2020.104486⟩ (2021)
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SCALa: A blueprint for computational models of language acquisition in social context
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.inria.fr/hal-03373586 ; Cognition, Elsevier, 2021, 213, pp.104779. ⟨10.1016/j.cognition.2021.104779⟩ (2021)
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| 18 |
Variation in phonological bias: Bias for vowels, rather than consonants or tones in lexical processing by Cantonese-learning toddlers
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-03391035 ; Cognition, Elsevier, 2021, 213, pp.104486. ⟨10.1016/j.cognition.2020.104486⟩ (2021)
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| 19 |
Subjective confidence influences word learning in a cross-situational statistical learning task
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In: ISSN: 0749-596X ; EISSN: 1096-0821 ; Journal of Memory and Language ; https://hal.archives-ouvertes.fr/hal-03468212 ; Journal of Memory and Language, Elsevier, 2021, 121, pp.104277 (2021)
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Familiar words can serve as a semantic seed for syntactic bootstrapping
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In: ISSN: 1363-755X ; EISSN: 1467-7687 ; Developmental Science ; https://hal.archives-ouvertes.fr/hal-03098829 ; Developmental Science, Wiley, 2021, 24 (1), pp.e13010. ⟨10.1111/desc.13010⟩ (2021)
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