Spoken content retrieval—beyond cascading speech recognition with text retrieval
Spoken content retrieval refers to directly indexing and retrieving spoken content based on
the audio rather than text descriptions. This potentially eliminates the requirement of …
the audio rather than text descriptions. This potentially eliminates the requirement of …
Unsupervised feature learning based on deep models for environmental audio tagging
Environmental audio tagging aims to predict only the presence or absence of certain
acoustic events in the interested acoustic scene. In this paper, we make contributions to …
acoustic events in the interested acoustic scene. In this paper, we make contributions to …
Spoken content retrieval: A survey of techniques and technologies
Speech media, that is, digital audio and video containing spoken content, has blossomed in
recent years. Large collections are accruing on the Internet as well as in private and …
recent years. Large collections are accruing on the Internet as well as in private and …
Factorized hidden layer adaptation for deep neural network based acoustic modeling
L Samarakoon, KC Sim - IEEE/ACM Transactions on Audio …, 2016 - ieeexplore.ieee.org
In this paper, we propose the factorized hidden layer (FHL) approach to adapt the deep
neural network (DNN) acoustic models for automatic speech recognition (ASR). FHL aims at …
neural network (DNN) acoustic models for automatic speech recognition (ASR). FHL aims at …
Speech-augmented cone-of-vision for exploratory data analysis
Mutual awareness of visual attention is crucial for successful collaboration. Previous
research has explored various ways to represent visual attention, such as field-of-view …
research has explored various ways to represent visual attention, such as field-of-view …
Large scale language modeling in automatic speech recognition
Large language models have been proven quite beneficial for a variety of automatic speech
recognition tasks in Google. We summarize results on Voice Search and a few YouTube …
recognition tasks in Google. We summarize results on Voice Search and a few YouTube …
Methods, systems, and media for searching for video content
YY Liu - US Patent 9,672,280, 2017 - Google Patents
US9672280B2 - Methods, systems, and media for searching for video content - Google Patents
US9672280B2 - Methods, systems, and media for searching for video content - Google Patents …
US9672280B2 - Methods, systems, and media for searching for video content - Google Patents …
Faceted search and browsing of audio content on spoken web
M Diao, S Mukherjea, N Rajput… - Proceedings of the 19th …, 2010 - dl.acm.org
Spoken Web is a web of VoiceSites that can be accessed by a phone. The content in a
VoiceSite is audio. Therefore Spoken Web provides an alternate to the World Wide Web …
VoiceSite is audio. Therefore Spoken Web provides an alternate to the World Wide Web …
Podcast search: User goals and retrieval technologies
Purpose–This research aims to identify users' goals and strategies when searching for
podcasts and their impact on the design of podcast retrieval technology. In particular, the …
podcasts and their impact on the design of podcast retrieval technology. In particular, the …
Transcription of multi-genre media archives using out-of-domain data
We describe our work on developing a speech recognition system for multi-genre media
archives. The high diversity of the data makes this a challenging recognition task, which may …
archives. The high diversity of the data makes this a challenging recognition task, which may …