The Experts below are selected from a list of 53091 Experts worldwide ranked by ideXlab platform

Jian Yang - One of the best experts on this subject based on the ideXlab platform.

  • Non-Native Speaker identity verification based on ICA
    2010
    Co-Authors: Hong Wei, Jian Yang
    Abstract:

    Speaker identity verification is an useful biometric recognition approach. Native Speaker verification has achieved some important progress. But Non-Native Speaker verification remains a challenging task because of wide varieties of Non-Native accents. Based on two speech corpus, one native speech corpus and one Non-Native corpus, by means of Speaker adaptation, Non-Native Speaker identity verification experiments are performed. In our experiments, the traditional Speaker verification method combines with the Non-Native Speaker's independent component speech features. The Speaker features of ICA are showed to be more effective by the final experimental results.

  • ICNC (6) - Non-Native Speaker Identity Verification Based on Speech
    2008 Fourth International Conference on Natural Computation, 2008
    Co-Authors: Hong Wei, Jian Yang
    Abstract:

    Speaker identity verification is an useful biometric recognition approach. Native Speaker verification has achieved some better effects. But Non-Native Speaker verification remains a challenging task because of wide varieties of Non-Native accents. Based on two speech corpus, one native speech corpus and one Non-Native corpus, by means of Speaker adaptation. Combined with traditional Speaker verification and connected digits continuous speech recognition techniques, Non-Native Speaker identity verification experiments are performed. The combined judging strategy is proved to be more effective by the final experimental results.

Muna Morris-adams - One of the best experts on this subject based on the ideXlab platform.

  • Topic continuity in informal conversations between native and Non-Native Speakers of English
    Multilingua, 2013
    Co-Authors: Muna Morris-adams
    Abstract:

    Topic management by Non-Native Speakers (NNSs) during informal conversations has received comparatively little attention from researchers, and receives surprisingly little attention in second language learning and teaching. This article reports on one of the topic management strategies employed by international students during informal, social interactions with native-Speaker peers, exploring the process of maintaining topic continuity following temporary suspensions of topics. The concept of side sequences is employed to illustrate the nature of different types of topic suspension, as well as the process of jointly negotiating a return to the topic. Extracts from the conversations show that such sequences were not exclusively occasioned by language difficulties, and that the Non-Native Speaker participants were able to effect successful returns to the main topic of the conversations.

Tove Larsson - One of the best experts on this subject based on the ideXlab platform.

Hong Wei - One of the best experts on this subject based on the ideXlab platform.

  • Non-Native Speaker identity verification based on ICA
    2010
    Co-Authors: Hong Wei, Jian Yang
    Abstract:

    Speaker identity verification is an useful biometric recognition approach. Native Speaker verification has achieved some important progress. But Non-Native Speaker verification remains a challenging task because of wide varieties of Non-Native accents. Based on two speech corpus, one native speech corpus and one Non-Native corpus, by means of Speaker adaptation, Non-Native Speaker identity verification experiments are performed. In our experiments, the traditional Speaker verification method combines with the Non-Native Speaker's independent component speech features. The Speaker features of ICA are showed to be more effective by the final experimental results.

  • ICNC (6) - Non-Native Speaker Identity Verification Based on Speech
    2008 Fourth International Conference on Natural Computation, 2008
    Co-Authors: Hong Wei, Jian Yang
    Abstract:

    Speaker identity verification is an useful biometric recognition approach. Native Speaker verification has achieved some better effects. But Non-Native Speaker verification remains a challenging task because of wide varieties of Non-Native accents. Based on two speech corpus, one native speech corpus and one Non-Native corpus, by means of Speaker adaptation. Combined with traditional Speaker verification and connected digits continuous speech recognition techniques, Non-Native Speaker identity verification experiments are performed. The combined judging strategy is proved to be more effective by the final experimental results.

Evelina Fedorenko - One of the best experts on this subject based on the ideXlab platform.

  • Don't underestimate the benefits of being misunderstood
    Psychological Science, 2017
    Co-Authors: Edward Gibson, Caitlin Tana, Richard Futrella, Kyle Mahowalda, Lars Konieczny, Barbara Hemforth, Evelina Fedorenko
    Abstract:

    Being a Non-Native Speaker of a language poses challenges. Individuals often feel embarrassed by the errors they make when talking in their second language (L2). However, here we report an advantage of being an L2 Speaker: native Speakers give foreign-accented Speakers the benefit of the doubt when interpreting their utterances, such that apparently implausible utterances delivered in a foreign accent are more likely to be interpreted in a plausible way. Across three replicated experiments, we demonstrate that native English Speakers are more likely to interpret implausible utterances such as “the mother gave the candle the daughter” as similar plausible utterances (“the mother gave the candle to the daughter”) when those utterances are produced with a foreign accent. This result follows from the general model of language interpretation in a noisy channel (Gibson et al., 2013), under the hypothesis that listeners assume a higher error rate in foreign-accented speech.

  • Don\textquoterightt underestimate the benefits of being misunderstood
    Psychological Science, 2017
    Co-Authors: Edward Gibson, Caitlin Tana, Richard Futrella, Kyle Mahowalda, Lars Konieczny, Barbara Hemforth, Evelina Fedorenko
    Abstract:

    Being a Non-Native Speaker of a language poses challenges. Individuals often feel embarrassed by the errors they make when talking in their second language (L2). However, here we report an advantage of being an L2 Speaker: native Speakers give foreign-accented Speakers the benefit of the doubt when interpreting their utterances, such that apparently implausible utterances delivered in a foreign accent are more likely to be interpreted in a plausible way. Across three replicated experiments, we demonstrate that native English Speakers are more likely to interpret implausible utterances such as “the mother gave the candle the daughter” as similar plausible utterances (“the mother gave the candle to the daughter”) when those utterances are produced with a foreign accent. This result follows from the general model of language interpretation in a noisy channel (Gibson et al., 2013), under the hypothesis that listeners assume a higher error rate in foreign-accented speech.