• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher:
    
    • Adi, Yossi (16)
    • Keshet, Joseph (10)
    • Goldrick, Matthew (6)
    • Cibelli, Emily (5)
    • Copet, Jade (5)
    • Dupoux, Emmanuel (5)
    • Hsu, Wei-Ning (5)
    • Polyak, Adam (5)
    • Lakhotia, Kushal (4)
    • Nguyen, Tu-Anh (4)
    •   more
  • 
    Year:
    
    • 2021 (5)
    • 2020 (2)
    • 2018 (1)
    • 2017 (3)
    • 2016 (4)
    • 2015 (1)
  • 
    Medium:
    
    • Online (16)
  • 
    Type
  • 
    BLLDB-Access

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 16 of 16 1 Speech Resynthesis from Discrete Disentangled Self-Supervised Representations Polyak, Adam; Adi, Yossi; Copet, Jade... In: INTERSPEECH 2021 - Annual Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-03329245 ; INTERSPEECH 2021 - Annual Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021) BASE Show details 2 On Generative Spoken Language Modeling from Raw Audio Lakhotia, Kushal; Kharitonov, Evgeny; Hsu, Wei-Ning... In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.inria.fr/hal-03329219 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2021 (2021) BASE Show details 3 Generative Spoken Language Modeling from Raw Audio ... Lakhotia, Kushal; Kharitonov, Evgeny; Hsu, Wei-Ning. - : arXiv, 2021 BASE Show details 4 Generative Spoken Language Modeling from Raw Audio ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Adi, Yossi; Baevski, Alexei. - : Underline Science Inc., 2021 BASE Show details 5 Textless Speech Emotion Conversion using Discrete and Decomposed Representations ... Kreuk, Felix; Polyak, Adam; Copet, Jade. - : arXiv, 2021 BASE Show details 6 Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation ... Kreuk, Felix; Keshet, Joseph; Adi, Yossi. - : arXiv, 2020 BASE Show details 7 Phoneme Boundary Detection using Learnable Segmental Features ... Kreuk, Felix; Sheena, Yaniv; Keshet, Joseph. - : arXiv, 2020 BASE Show details 8 The influence of lexical selection disruptions on articulation Goldrick, Matthew; McClain, Rhonda; Cibelli, Emily... In: J Exp Psychol Learn Mem Cogn (2018) BASE Show details 9 Automatic Measurement of Pre-aspiration ... Sheena, Yaniv; Hejná, Míša; Adi, Yossi. - : arXiv, 2017 BASE Show details 10 Learning Similarity Functions for Pronunciation Variations ... Naaman, Einat; Adi, Yossi; Keshet, Joseph. - : arXiv, 2017 BASE Show details 11 SEQUENCE SEGMENTATION USING JOINT RNN AND STRUCTURED PREDICTION MODELS Adi, Yossi; Keshet, Joseph; Cibelli, Emily. - 2017 BASE Show details 12 Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks ... Adi, Yossi; Kermany, Einat; Belinkov, Yonatan. - : arXiv, 2016 BASE Show details 13 Sequence Segmentation Using Joint RNN and Structured Prediction Models ... Adi, Yossi; Keshet, Joseph; Cibelli, Emily. - : arXiv, 2016 BASE Show details 14 Automatic measurement of vowel duration via structured prediction ... Adi, Yossi; Keshet, Joseph; Cibelli, Emily; Gustafson, Erin; Clopper, Cynthia; Goldrick, Matthew. - : arXiv, 2016 Abstract: A key barrier to making phonetic studies scalable and replicable is the need to rely on subjective, manual annotation. To help meet this challenge, a machine learning algorithm was developed for automatic measurement of a widely used phonetic measure: vowel duration. Manually-annotated data were used to train a model that takes as input an arbitrary length segment of the acoustic signal containing a single vowel that is preceded and followed by consonants and outputs the duration of the vowel. The model is based on the structured prediction framework. The input signal and a hypothesized set of a vowel's onset and offset are mapped to an abstract vector space by a set of acoustic feature functions. The learning algorithm is trained in this space to minimize the difference in expectations between predicted and manually-measured vowel durations. The trained model can then automatically estimate vowel durations without phonetic or orthographic transcription. Results comparing the model to three sets of manually ... Keyword: FOS Computer and information sciences; Machine Learning cs.LG; Machine Learning stat.ML; Sound cs.SD URL: https://dx.doi.org/10.48550/arxiv.1610.08166 https://arxiv.org/abs/1610.08166 BASE Hide details 15 Automatic measurement of vowel duration via structured prediction Adi, Yossi; Keshet, Joseph; Cibelli, Emily. - : Acoustical Society of America, 2016 BASE Show details 16 VOWEL DURATION MEASUREMENT USING DEEP NEURAL NETWORKS Adi, Yossi; Keshet, Joseph; Goldrick, Matthew. - 2015 BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 16 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0