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What native speaker judgments tell us about the grammaticalization of a progressive aspectual marker in Dutch
progressive aspectual marker Dutch
2015/4/10
This paper focuses on native speaker judgments of a construction in Dutch that
functions as a progressive aspectual marker (aan het X zijn, referred to as
aan het-construction) and represents an e...
The role of fillers in listener attributions for speaker disfluency
Common ground Dialogue Disfluency Fillers Perspective taking
2015/4/9
When listeners hear a speaker become disfluent, they expect the speaker to refer to something new. What is the mechanism underlying this expectation? In a mouse-tracking experiment, listeners sought t...
Bayesian Distance Metric Learning on i-vector for Speaker Verification
i-vector score normalization distance metric learning channel compensation limited training utterances
2014/11/27
This paper presents a new speaker verification system based on i-vector modeling as a feature extractor. In this modeling, we explore the distance constraints between i-vector pairs from the same spea...
EVALUATION OF MULTI-LEVEL CONTEXT-DEPENDENT ACOUSTIC MODEL FOR LARGE VOCABULARY SPEAKER ADAPTATION TASKS
Multi-level acoustic model contextdependent model speaker adaptation discriminative training LVCSR
2014/11/27
In this paper, we investigate the ability of a recently proposed discriminatively trained, multi-level context-dependent acoustic model to adapt to a new speaker in both supervised and unsupervised ad...
Unsupervised Speaker Adaptation based on the Cosine Similarity for Text-Independent Speaker Verification
Unsupervised Speaker Adaptation Cosine Similarity Text-Independent Speaker Verification
2014/11/27
This paper proposes a new approach to unsupervised speaker adaptation inspired by the recent success of the factor analysisbased Total Variability Approach to text-independent speaker verification [1]...
TOWARDS MULTI-SPEAKER UNSUPERVISED SPEECH PATTERN DISCOVERY
unsupervised learning language acquisition
2014/11/27
In this paper, we explore the use of a Gaussian posteriorgram based representation for unsupervised discovery of speech patterns. Compared with our previous work, the new approach provides significant...
Combining missing-feature theory, speech enhancement, and speaker-dependent /-independent modeling for speech separation
Speech enhancement Speaker modeling Speech recognition Missing-feature theory Posterior union model
2014/11/27
This paper considers the separation and recognition of overlapped speech sentences assuming single-channel observation. A system based on a combination of several different techniques is proposed. The...
A NOVEL DTW-BASED DISTANCE MEASURE FOR SPEAKER SEGMENTATION
NOVEL DTW-BASED DISTANCE MEASURE SPEAKER SEGMENTATION
2014/11/27
We present a novel distance measure for comparing two speech segments that uses a local version of the well-known DTW algorithm. Our approach is based on the idea of finding word-level speech patterns...
SPEAKER VERIFICATION OVER HANDHELD DEVICES WITH REALISTIC NOISY SPEECH DATA
SPEAKER VERIFICATION HANDHELD DEVICES REALISTIC NOISY SPEECH DATA
2014/11/27
We study speaker verification f or handheld devices assuming realistic, noisy test conditions and assuming no prior knowledge of the noise characteristics. Data were r ecorded in office ( “quiet”) and...
Corrective Feedback, Negotiation of Meaning and Grammar Development: Learner-Learner and Learner-Native Speaker Interaction in ESL
Corrective Feedback Negotiation of Meaning Grammar Learning ESL Interaction
2013/1/28
This study aims to investigate the role of corrective feedback and negotiation of meaning within an Interactionist Approach (Long, 1996) in native speaker-Second Language learner and L2 learner-L2 lea...
There Is Method in the Humorous Speaker's Madness：Humour and Grice's Model
Cooperative Principle humour maxim flouts rationality
2009/8/5
The interdependence between humour and the Cooperative Principle (CP) (Grice 1975/1989b, 1978/1989b, 1989a) appears to be a bone of contention in pragmatic studies on verbal humour. The wellentrenched...
The task of speech processing is being spread over last years with speaker recognition,
which consists of speaker identification and speaker verification. In the paper there is
an explained method w...