361 citations
- Carnegie Mellon UniversityUS12 papers
- Stanford UniversityUS6 papers
- Google (United States)US5 papers
- University of WashingtonUS5 papers
- Amazon (United States)US4 papers
- Apple (Germany)DE4 papers
- Apple (Israel)IL4 papers
- Arizona State UniversityUS4 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Jet Propulsion LaboratoryUS4 papers
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- École Polytechnique Fédérale de LausanneCH3 papers
9 papers · 1 filter
Exploring Retraining-Free Speech Recognition for Intra-sentential Code-Switching
Zhen Huang, Xiaodan Zhuang, Daben Liu +3
In this paper, we present our initial efforts for building a code-switching (CS) speech recognition system leveraging existing acoustic models (AMs) and language models (LMs), i.e.…
Adaptation Algorithms for Neural Network-Based Speech Recognition: An Overview
Peter Bell, Joachim Fainberg, Ondrej Klejch +3
We present a structured overview of adaptation algorithms for neural network-based speech recognition, considering both hybrid hidden Markov model / neural network systems and end-…
Online Automatic Speech Recognition with Listen, Attend and Spell Model
Roger Hsiao, Dogan Can, Tim Ng +2
The Listen, Attend and Spell (LAS) model and other attention-based automatic speech recognition (ASR) models have known limitations when operated in a fully online mode. In this pa…
Acoustic Neighbor Embeddings
Woojay Jeon
This paper proposes a novel acoustic word embedding called Acoustic Neighbor Embeddings where speech or text of arbitrary length are mapped to a vector space of fixed, reduced dime…
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis
Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel +1
We present a method to generate speech from input text and a style vector that is extracted from a reference speech signal in an unsupervised manner, i.e., no style annotation, suc…
Detecting Emotion Primitives from Speech and their use in discerning Categorical Emotions
Vasudha Kowtha, Vikramjit Mitra, Chris Bartels +5
Emotion plays an essential role in human-to-human communication, enabling us to convey feelings such as happiness, frustration, and sincerity. While modern speech technologies rely…