Search Results for author:
Found 16 papers, 2 papers with code
Writing System and Speaker Metadata for 2,800+ Language Varieties
We describe an open-source dataset providing metadata for about 2, 800 language varieties used in the world today.
How Might We Create Better Benchmarks for Speech Recognition?
The applications of automatic speech recognition (ASR) systems are proliferating, in part due to recent significant quality improvements.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Multimodal Modeling For Spoken Language Identification
Spoken language identification refers to the task of automatically predicting the spoken language in a given utterance.
Large vocabulary speech recognition for languages of Africa: multilingual modeling and self-supervised learning
Almost none of the 2, 000+ languages spoken in Africa have widely available automatic speech recognition systems, and the required data is also only available for a few languages.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Accented Speech Recognition: Benchmarking, Pre-training, and Diverse Data
However, there are not enough data sets for accented speech, and for the ones that are already available, more training approaches need to be explored to improve the quality of accented speech recognition.
Building Machine Translation Systems for the Next Thousand Languages
In this paper we share findings from our effort to build practical machine translation (MT) systems capable of translating across over one thousand languages.
XTREME-S: Evaluating Cross-lingual Speech Representations
Covering 102 languages from 10+ language families, 3 different domains and 4 task families, XTREME-S aims to simplify multilingual speech representation evaluation, as well as catalyze research in "universal" speech representation learning.
Handling Compounding in Mobile Keyboard Input
This paper proposes a framework to improve the typing experience of mobile users in morphologically rich languages.
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
With the success of large-scale pre-training and multilingual modeling in Natural Language Processing (NLP), recent years have seen a proliferation of large, web-mined text datasets covering hundreds of languages.
Mining Large-Scale Low-Resource Pronunciation Data From Wikipedia
Pronunciation modeling is a key task for building speech technology in new languages, and while solid grapheme-to-phoneme (G2P) mapping systems exist, language coverage can stand to be improved.
Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus
Large text corpora are increasingly important for a wide variety of Natural Language Processing (NLP) tasks, and automatic language identification (LangID) is a core technology needed to collect such datasets in a multilingual context.
Data-Driven Parametric Text Normalization: Rapidly Scaling Finite-State Transduction Verbalizers to New Languages
This paper presents a methodology for rapidly generating FST-based verbalizers for ASR and TTS systems by efficiently sourcing language-specific data.
Writing Across the World's Languages: Deep Internationalization for Gboard, the Google Keyboard
Today, Gboard supports 900+ language varieties across 70+ writing systems, and this report describes how and why we have been adding support for hundreds of language varieties from around the globe.
Automatic Keyboard Layout Design for Low-Resource Latin-Script Languages
For many speakers, one of the barriers in accessing and creating text content on the web is the absence of input tools for their language.
