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08/14/2023
O-1: Self-training with Oracle and 1-best Hypothesis
We introduce O-1, a new self-training objective to reduce training bias ...
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08/14/2023
Using Text Injection to Improve Recognition of Personal Identifiers in Speech
Accurate recognition of specific categories, such as persons' names, dat...
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08/11/2023
Improving Joint Speech-Text Representations Without Alignment
The last year has seen astonishing progress in text-prompted image gener...
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04/27/2023
Understanding Shared Speech-Text Representations
Recently, a number of approaches to train speech models by incorpo-ratin...
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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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02/16/2023
JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition
We propose JEIT, a joint end-to-end (E2E) model and internal language mo...
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10/27/2022
Virtuoso: Massive Multilingual Speech-Text Joint Semi-Supervised Learning for Text-To-Speech
This paper proposes Virtuoso, a massively multilingual speech-text joint...
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10/19/2022
G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR
Data augmentation is a ubiquitous technique used to provide robustness t...
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10/18/2022
Maestro-U: Leveraging joint speech-text representation learning for zero supervised speech ASR
Training state-of-the-art Automated Speech Recognition (ASR) models typi...
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09/15/2022
Non-Parallel Voice Conversion for ASR Augmentation
Automatic speech recognition (ASR) needs to be robust to speaker differe...
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05/16/2022
Accented Speech Recognition: Benchmarking, Pre-training, and Diverse Data
Building inclusive speech recognition systems is a crucial step towards ...
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04/07/2022
MAESTRO: Matched Speech Text Representations through Modality Matching
We present Maestro, a self-supervised training method to unify represent...
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03/23/2022
A Scalable Model Specialization Framework for Training and Inference using Submodels and its Application to Speech Model Personalization
Model fine-tuning and adaptation have become a common approach for model...
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02/24/2022
Ask2Mask: Guided Data Selection for Masked Speech Modeling
Masked speech modeling (MSM) methods such as wav2vec2 or w2v-BERT learn ...
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08/27/2021
Injecting Text in Self-Supervised Speech Pretraining
Self-supervised pretraining for Automated Speech Recognition (ASR) has s...
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02/06/2020
Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior
Recent neural text-to-speech (TTS) models with fine-grained latent featu...
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09/25/2019
Speech Recognition with Augmented Synthesized Speech
Recent success of the Tacotron speech synthesis architecture and its var...
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07/09/2019
Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning
We present a multispeaker, multilingual text-to-speech (TTS) synthesis m...
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03/02/2018
RankDCG: Rank-Ordering Evaluation Measure
Ranking is used for a wide array of problems, most notably information r...
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02/07/2018
Joint Modeling of Accents and Acoustics for Multi-Accent Speech Recognition
The performance of automatic speech recognition systems degrades with in...
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01/13/2017
End-to-End ASR-free Keyword Search from Speech
End-to-end (E2E) systems have achieved competitive results compared to c...
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10/10/2010