research
∙
05/24/2023
RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models
With the rapid increase in the size of neural networks, model compressio...
share
research
∙
03/15/2023
Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models
Continued improvements in machine learning techniques offer exciting new...
research
∙
11/28/2022
E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model
We explore unifying a neural segmenter with two-pass cascaded encoder AS...
research
∙
11/01/2022
Unified End-to-End Speech Recognition and Endpointing for Fast and Efficient Speech Systems
Automatic speech recognition (ASR) systems typically rely on an external...
research
∙
08/29/2022
A Language Agnostic Multilingual Streaming On-Device ASR System
On-device end-to-end (E2E) models have shown improvements over a convent...
research
∙
08/29/2022
Turn-Taking Prediction for Natural Conversational Speech
While a streaming voice assistant system has been used in many applicati...
research
∙
06/29/2022
Improving Deliberation by Text-Only and Semi-Supervised Training
Text-only and semi-supervised training based on audio-only data has gain...
research
∙
04/15/2022
Improving Rare Word Recognition with LM-aware MWER Training
Language models (LMs) significantly improve the recognition accuracy of ...
research
∙
04/13/2022
A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes
In this paper, we propose a dynamic cascaded encoder Automatic Speech Re...
research
∙
04/08/2022
Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition
Personalization of on-device speech recognition (ASR) has seen explosive...
research
∙
03/29/2022
4-bit Conformer with Native Quantization Aware Training for Speech Recognition
Reducing the latency and model size has always been a significant resear...
research
∙
02/24/2022
Closing the Gap between Single-User and Multi-User VoiceFilter-Lite
VoiceFilter-Lite is a speaker-conditioned voice separation model that pl...
research
∙
10/30/2021
Cross-attention conformer for context modeling in speech enhancement for ASR
This work introduces cross-attention conformer, an attention-based archi...
research
∙
10/07/2021
Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition
As end-to-end automatic speech recognition (ASR) models reach promising ...
research
∙
10/01/2021
Large-scale ASR Domain Adaptation using Self- and Semi-supervised Learning
Self- and semi-supervised learning methods have been actively investigat...
research
∙
09/15/2021
Tied Reduced RNN-T Decoder
Previous works on the Recurrent Neural Network-Transducer (RNN-T) models...
research
∙
07/02/2021
Multi-user VoiceFilter-Lite via Attentive Speaker Embedding
In this paper, we propose a solution to allow speaker conditioned speech...
research
∙
04/28/2021
Personalized Keyphrase Detection using Speaker and Environment Information
In this paper, we introduce a streaming keyphrase detection system that ...
research
∙
04/26/2021
Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction
Confidence scores are very useful for downstream applications of automat...
research
∙
03/11/2021
Learning Word-Level Confidence For Subword End-to-End ASR
We study the problem of word-level confidence estimation in subword-base...
research
∙
12/12/2020
Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging
End-to-end models that condition the output label sequence on all previo...
research
∙
11/21/2020
A Better and Faster End-to-End Model for Streaming ASR
End-to-end (E2E) models have shown to outperform state-of-the-art conven...
research
∙
10/22/2020
Confidence Estimation for Attention-based Sequence-to-sequence Models for Speech Recognition
For various speech-related tasks, confidence scores from a speech recogn...
research
∙
10/21/2020
FastEmit: Low-latency Streaming ASR with Sequence-level Emission Regularization
Streaming automatic speech recognition (ASR) aims to emit each hypothesi...
research
∙
09/09/2020
VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition
We introduce VoiceFilter-Lite, a single-channel source separation model ...
research
∙
08/30/2020
Parallel Rescoring with Transformer for Streaming On-Device Speech Recognition
Recent advances of end-to-end models have outperformed conventional mode...
research
∙
06/02/2020
Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer
The demand for fast and accurate incremental speech recognition increase...
research
∙
03/28/2020
A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency
Thus far, end-to-end (E2E) models have not been shown to outperform stat...
research
∙
08/29/2019
Two-Pass End-to-End Speech Recognition
The requirements for many applications of state-of-the-art speech recogn...
research
∙
02/21/2019
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Lingvo is a Tensorflow framework offering a complete solution for collab...
research
∙
11/15/2018
Streaming End-to-end Speech Recognition For Mobile Devices
End-to-end (E2E) models, which directly predict output character sequenc...
research
∙
10/26/2017