Skip to search formSkip to main contentSkip to account menu

Speech analytics

Known as: LVCSR 
Speech analytics is the process of analyzing recorded calls to gather customer information to improve communication and future interaction. The… 
Wikipedia (opens in a new tab)

Related topics

Related topics

7 relations
Audio miningCustomer intelligenceInformation retrievalOutsourcing

Broader (2)

E-commerceSpeech recognition

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2008
2008
Recent improvements of the RWTH GALE Mandarin LVCSR system
This paper describes the current improvements of the RWTH Mandarin LVCSR system. We introduce a new reduced toneme set developed… 
Highly Cited
2005
Highly Cited
2005
Anatomy of an extremely fast LVCSR decoder
We report in detail the decoding strategy that we used for the past two Darpa Rich Transcription evaluations (RT’03 and RT’04… 
Highly Cited
2004
Highly Cited
2004
Recent progress of open-source LVCSR engine julius and Japanese model repository
ICSLP2004: the 8th International Conference on Spoken Language Processing, October 4-8, 2004, Jeju Island, Korea. 
Highly Cited
2001
Highly Cited
2001
Spoken language recognition-a step toward multilinguality in speech processing
Automatic recognition of spoken languages has become an important feature in a variety of speech-enabled multilingual… 
2000
2000
Boosting Gaussian mixtures in an LVCSR system
In this paper, we apply boosting to the problem of frame-level phone classification, and use the resulting system to perform… 
2000
2000
Update progress of Sinohear: advanced Mandarin LVCSR system at NLPR
NLPR has been with long efforts on Mandarin speech recognition. This paper reports our recent process in this field with several… 
Highly Cited
2000
Highly Cited
2000
Compound splitting and lexical unit recombination for improved performance of a speech recognition system for German parliamentary speeches
This paper proposes a novel combined compound splitting and phrase recombination method that optimizes the composition of the… 
Highly Cited
1997
Highly Cited
1997
A segment-based wordspotter using phonetic filler models
A common approach to wordspotting is to augment the keyword models with "filler" models to account for nonkeyword intervals. An… 
Highly Cited
1997
Highly Cited
1997
Fast bootstrapping of LVCSR systems with multilingual phoneme sets
In this paper we described an e cient method to bootstrap continuously spoken, large vocabulary speech recognition systems by… 
1997
1997
The GlobalPhone Project: Multilingual LVCSR with JANUS-3
. This paper describes our recent effort in developing the Global Phone database for multilingual large vocabulary continuous… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)