Search Results for author:
Found 18 papers, 3 papers with code
Practical Evaluation of Human and Synthesized Speech for Virtual Human Dialogue Systems
To determine the best trade-off between performance and cost, we perform a systematic evaluation of human and synthesized voices with regard to naturalness, conversational aspect, and likability.
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop
We summarize the accomplishments of a multi-disciplinary workshop exploring the computational and scientific issues surrounding the discovery of linguistic units (subwords and words) in a language without orthography.
Data Augmentation for Neural Online Chats Response Selection
Data augmentation seeks to manipulate the available data for training to improve the generalization ability of models.
Stance Classification, Outcome Prediction, and Impact Assessment: NLP Tasks for Studying Group Decision-Making
In group decision-making, the nuanced process of conflict and resolution that leads to consensus formation is closely tied to the quality of decisions made.
Disentangling Speech and Non-Speech Components for Building Robust Acoustic Models from Found Data
We show that the constraints on the latent space of a VAE can be in-fact used to separate speech and music, independent of the language of the speech.
Reading Between the Lines: Exploring Infilling in Visual Narratives
In this paper, we tackle this problem by using \textit{infilling} techniques involving prediction of missing steps in a narrative while generating textual descriptions from a sequence of images.
Task-Specific Pre-Training and Cross Lingual Transfer for Code-Switched Data
Using task-specific pre-training and leveraging cross-lingual transfer are two of the most popular ways to handle code-switched data.
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
To successfully negotiate a deal, it is not enough to communicate fluently: pragmatic planning of persuasive negotiation strategies is essential.
Two-Pass Low Latency End-to-End Spoken Language Understanding
End-to-end (E2E) models are becoming increasingly popular for spoken language understanding (SLU) systems and are beginning to achieve competitive performance to pipeline-based approaches.
Zero-shot Learning for Grapheme to Phoneme Conversion with Language Ensemble
Grapheme-to-Phoneme (G2P) has many applications in NLP and speech fields.
This Table is Different: A WordNet-Based Approach to Identifying References to Document Entities
Writing intended to inform frequently contains references to document entities (DEs), a mixed class that includes orthographically structured items (e. g., illustrations, sections, lists) and discourse entities (arguments, suggestions, points).
