Survey on deep neural networks in speech and vision systems
This survey presents a review of state-of-the-art deep neural network architectures,
algorithms, and systems in speech and vision applications. Recent advances in deep …
algorithms, and systems in speech and vision applications. Recent advances in deep …
Mixture of n-gram language models
H Sak, CGL Allauzen - US Patent 9,208,779, 2015 - Google Patents
BACKGROUND Speech recognition systems transcribe spoken words into text in a process
that is known as automatic speech recogni tion. Some speech recognition systems are …
that is known as automatic speech recogni tion. Some speech recognition systems are …
[PDF][PDF] Accurate and compact large vocabulary speech recognition on mobile devices.
In this paper we describe the development of an accurate, smallfootprint, large vocabulary
speech recognizer for mobile devices. To achieve the best recognition accuracy, state-of-the …
speech recognizer for mobile devices. To achieve the best recognition accuracy, state-of-the …
How do users respond to voice input errors? Lexical and phonetic query reformulation in voice search
Voice search offers users with a new search experience: instead of typing, users can
vocalize their search queries. However, due to voice input errors (such as speech …
vocalize their search queries. However, due to voice input errors (such as speech …
Acceptability of speech and silent speech input methods in private and public
Silent speech input converts non-acoustic features like tongue and lip movements into text. It
has been demonstrated as a promising input method on mobile devices and has been …
has been demonstrated as a promising input method on mobile devices and has been …
Speech recognition for mobile devices at Google
M Schuster - Pacific Rim International Conference on Artificial …, 2010 - Springer
LNAI 6230 - Speech Recognition for Mobile Devices at Google Page 1 Speech Recognition for
Mobile Devices at Google Mike Schuster Google Research, 1600 Amphitheatre Pkwy …
Mobile Devices at Google Mike Schuster Google Research, 1600 Amphitheatre Pkwy …
Speech2Health: a mobile framework for monitoring dietary composition from spoken data
N Hezarjaribi, S Mazrouee… - IEEE journal of …, 2017 - ieeexplore.ieee.org
Diet and physical activity are known as important lifestyle factors in self-management and
prevention of many chronic diseases. Mobile sensors such as accelerometers have been …
prevention of many chronic diseases. Mobile sensors such as accelerometers have been …
Contextual language model adaptation for conversational agents
Statistical language models (LM) play a key role in Automatic Speech Recognition (ASR)
systems used by conversational agents. These ASR systems should provide a high …
systems used by conversational agents. These ASR systems should provide a high …
[PDF][PDF] Bayesian language model interpolation for mobile speech input
C Allauzen, M Riley - 2011 - isca-archive.org
This paper explores various static interpolation methods for approximating a single
dynamically-interpolated language model used for a variety of recognition tasks on the …
dynamically-interpolated language model used for a variety of recognition tasks on the …
Proxitalk: Activate speech input by bringing smartphone to the mouth
Speech input, such as voice assistant and voice message, is an attractive interaction option
for mobile users today. However, despite its popularity, there is a use limitation for …
for mobile users today. However, despite its popularity, there is a use limitation for …