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Studies have shown that articulatory information helps model speech variability and, consequently, improves speech recognition performance.

May, 2017
Journal
413

We propose to demonstrate the Open Language Interface for Voice Exploitation (OLIVE) speech-processing system, which SRI International developed under the DARPA Robust Automatic Transcription of Speech (RATS) program. The technology underlying OLIVE was designed to achieve robustness to high levels...

Sep, 2016
In Proceedings
Topics:
413

The rate at which endangered languages can be documented has been highly constrained by human factors.

Sep, 2016
In Proceedings
Topics:
413

Recognizing speech under high levels of channel and/or noise degradation is challenging.

Sep, 2016
In Proceedings
Topics:
413

The newly collected Speakers in the Wild (SITW) database was central to a text-independent speaker recognition challenge held as part of a special session at Interspeech 2016. The SITW database is composed of audio recordings from 299 speakers collected from open source media, with an average of 8...

Sep, 2016
In Proceedings
Topics:
413

This article is concerned with the issue of calibration in the context of Deep Neural Network (DNN) based approaches to speaker recognition. DNNs have provided a new standard in technology when used in place of the traditional universal background model (UBM) for feature alignment, or to augment...

Sep, 2016
In Proceedings
Topics:
413

The introduction of deep neural networks has significantly improved automatic speech recognition performance.

Sep, 2016
In Proceedings
Topics:
413

This work investigates whether nonlexical information from speech can automatically predict the quality of small-group collaborations.

Sep, 2016
Technical Report
413

Often, prior knowledge of subword units is unavailable for low-resource languages. Instead, a global subword unit description, such as a universal phone set, is typically used in such scenarios.

Sep, 2016
In Proceedings
Topics:
413

Annotating audio data for the presence and location of speech is a time-consuming and therefore costly task.

Sep, 2016
In Proceedings
Topics:
413

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