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09/19/2023
Multimodal Modeling For Spoken Language Identification
Spoken language identification refers to the task of automatically predi...
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03/02/2023
Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages
We introduce the Universal Speech Model (USM), a single large model that...
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10/12/2022
SQuId: Measuring Speech Naturalness in Many Languages
Much of text-to-speech research relies on human evaluation, which incurs...
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10/01/2022
FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation
We present FRMT, a new dataset and evaluation benchmark for Few-shot Reg...
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05/25/2022
FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech
We introduce FLEURS, the Few-shot Learning Evaluation of Universal Repre...
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05/09/2022
Building Machine Translation Systems for the Next Thousand Languages
In this paper we share findings from our effort to build practical machi...
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03/21/2022
XTREME-S: Evaluating Cross-lingual Speech Representations
We introduce XTREME-S, a new benchmark to evaluate universal cross-lingu...
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02/03/2022
mSLAM: Massively multilingual joint pre-training for speech and text
We present mSLAM, a multilingual Speech and LAnguage Model that learns c...
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10/20/2021
SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training
Unsupervised pre-training is now the predominant approach for both text ...
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10/24/2020
Improving Multilingual Models with Language-Clustered Vocabularies
State-of-the-art multilingual models depend on vocabularies that cover a...
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08/15/2020
Finding Fast Transformers: One-Shot Neural Architecture Search by Component Composition
Transformer-based models have achieved stateof-the-art results in many t...
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09/01/2019
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation
The recently proposed massively multilingual neural machine translation ...
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08/31/2019
Small and Practical BERT Models for Sequence Labeling
We propose a practical scheme to train a single multilingual sequence la...
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10/09/2018
A Fast, Compact, Accurate Model for Language Identification of Codemixed Text
We address fine-grained multilingual language identification: providing ...
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09/26/2016
