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02/14/2023
Speaker-Independent Acoustic-to-Articulatory Speech Inversion
To build speech processing methods that can handle speech as naturally a...
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10/29/2022
Articulatory Representation Learning Via Joint Factor Analysis and Neural Matrix Factorization
Articulatory representation learning is the fundamental research in mode...
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10/27/2022
Token-level Sequence Labeling for Spoken Language Understanding using Compositional End-to-End Models
End-to-end spoken language understanding (SLU) systems are gaining popul...
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10/27/2022
A Fast and Accurate Pitch Estimation Algorithm Based on the Pseudo Wigner-Ville Distribution
Estimation of fundamental frequency (F0) in voiced segments of speech si...
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10/11/2022
CTC Alignments Improve Autoregressive Translation
Connectionist Temporal Classification (CTC) is a widely used approach fo...
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09/13/2022
Deep Speech Synthesis from Articulatory Representations
In the articulatory synthesis task, speech is synthesized from input fea...
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09/06/2022
ASR2K: Speech Recognition for Around 2000 Languages without Audio
Most recent speech recognition models rely on large supervised datasets,...
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07/01/2022
Building African Voices
Modern speech synthesis techniques can produce natural-sounding speech g...
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05/24/2022
On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization
Integrating vision and language has gained notable attention following t...
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04/01/2022
Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition
Most of the research on data-driven speech representation learning has f...
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11/29/2021
ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet
As Automatic Speech Processing (ASR) systems are getting better, there i...
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11/02/2021
Cross-lingual Transfer for Speech Processing using Acoustic Language Similarity
Speech processing systems currently do not support the vast majority of ...
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11/01/2021
Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching
Code-switching (CS), a ubiquitous phenomenon due to the ease of communic...
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10/31/2021
Towards Language Modelling in the Speech Domain Using Sub-word Linguistic Units
Language models (LMs) for text data have been studied extensively for th...
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10/18/2021
Intent Classification Using Pre-Trained Embeddings For Low Resource Languages
Building Spoken Language Understanding (SLU) systems that do not rely on...
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10/12/2021
Speech Summarization using Restricted Self-Attention
Speech summarization is typically performed by using a cascade of speech...
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06/29/2021
Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding
Decomposable tasks are complex and comprise of a hierarchy of sub-tasks....
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06/10/2021
CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Mixing
The NLP community has witnessed steep progress in a variety of tasks acr...
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06/04/2021
Grounding 'Grounding' in NLP
The NLP community has seen substantial recent interest in grounding to f...
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04/26/2021
Focused Attention Improves Document-Grounded Generation
Document grounded generation is the task of using the information provid...
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04/03/2021
Intent Recognition and Unsupervised Slot Identification for Low Resourced Spoken Dialog Systems
Intent Recognition and Slot Identification are crucial components in spo...
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03/27/2021
Unsupervised Self-Training for Sentiment Analysis of Code-Switched Data
Sentiment analysis is an important task in understanding social media co...
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12/01/2020
Automatically Identifying Language Family from Acoustic Examples in Low Resource Scenarios
Existing multilingual speech NLP works focus on a relatively small subse...
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11/07/2020
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages
With recent advancements in language technologies, humansare now interac...
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10/20/2020
Comparison of Interactive Knowledge Base Spelling Correction Models for Low-Resource Languages
Spelling normalization for low resource languages is a challenging task ...
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10/14/2020
Dissecting the components and factors of Neural Text Generation
Neural text generation metamorphosed into several critical natural langu...
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10/09/2020
Case Study: Deontological Ethics in NLP
Recent work in natural language processing (NLP) has focused on ethical ...
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08/11/2020
LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification
In this paper we describe our submission for the task of Propaganda Span...
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07/25/2020
Nonlinear ISA with Auxiliary Variables for Learning Speech Representations
This paper extends recent work on nonlinear Independent Component Analys...
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06/10/2020
ClarQ: A large-scale and diverse dataset for Clarification Question Generation
Question answering and conversational systems are often baffled and need...
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05/28/2020
A Corpus for Large-Scale Phonetic Typology
A major hurdle in data-driven research on typology is having sufficient ...
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05/27/2020
Phone Features Improve Speech Translation
End-to-end models for speech translation (ST) more tightly couple speech...
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05/04/2020
Exploring Controllable Text Generation Techniques
Neural controllable text generation is an important area gaining attenti...
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05/01/2020
Style Variation as a Vantage Point for Code-Switching
Code-Switching (CS) is a common phenomenon observed in several bilingual...
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05/01/2020
Topological Sort for Sentence Ordering
Sentence ordering is the task of arranging the sentences of a given text...
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04/29/2020
Politeness Transfer: A Tag and Generate Approach
This paper introduces a new task of politeness transfer which involves c...
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04/17/2020
AlloVera: A Multilingual Allophone Database
We introduce a new resource, AlloVera, which provides mappings from 218 ...
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02/26/2020
Universal Phone Recognition with a Multilingual Allophone System
Multilingual models can improve language processing, particularly for lo...
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02/26/2020
Towards Zero-shot Learning for Automatic Phonemic Transcription
Automatic phonemic transcription tools are useful for low-resource langu...
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01/10/2020
Towards Minimal Supervision BERT-based Grammar Error Correction
Current grammatical error correction (GEC) models typically consider the...
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12/04/2019
A Resource for Computational Experiments on Mapudungun
We present a resource for computational experiments on Mapudungun, a pol...
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11/03/2019
Question Answering for Privacy Policies: Combining Computational and Legal Perspectives
Privacy policies are long and complex documents that are difficult for u...
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09/30/2019
A Dynamic Strategy Coach for Effective Negotiation
Negotiation is a complex activity involving strategic reasoning, persuas...
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09/30/2019
Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History
We study non-collaborative dialogs, where two agents have a conflict of ...
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09/15/2019
Induction and Reference of Entities in a Visual Story
We are enveloped by stories of visual interpretations in our everyday li...
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09/03/2019
CMU GetGoing: An Understandable and Memorable Dialog System for Seniors
Voice-based technologies are typically developed for the average user, a...
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08/30/2019
Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs
Generating a long, coherent text such as a paragraph requires a high-lev...
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08/02/2019
SANTLR: Speech Annotation Toolkit for Low Resource Languages
While low resource speech recognition has attracted a lot of attention f...
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08/02/2019
Multilingual Speech Recognition with Corpus Relatedness Sampling
Multilingual acoustic models have been successfully applied to low-resou...
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07/18/2019
