An Introduction to Application-Independent Evaluation of Speaker Recognition Systems

By D. V. Leeuwen, Niko Brummer. 2007

217 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Li Deng
2. Xiaodong He
3. Dong Yu
4. Jianfeng Gao
5. Haizhou Li
6. Georg Heigold
7. Xavier Serra
8. Yoshua Bengio

In Signal Processing

1. Eduardo Fonseca
2. Xavier Serra
3. Frederic Font
4. Xavier Favory
5. Jordi Pons
6. Li Deng
7. Xiaodong He
8. Dong Yu

Citations in the corpus

• FSD50K: An Open Dataset of Human-Labeled Sound Events (2020, background): “This trend has been adopted in other fields such as speaker recognition [102] and also recently in sound event detection (SED) [103].”
• Spoken Language Recognition: From Fundamentals to Practice (2013, background): “[135] D.”
• Optimization Algorithms and Applications for Speech and Language Processing (2013, methodology): “In the following, we show how the score fusion and calibration can be accomplished jointly [48], [49], [14] for the case of speaker recognition.”
• Metrics Reloaded: Recommendations for image analysis validation (2022, unknown): “Another example is the metric Expected Cost (EC) [56], which can be seen as a generalization of Accuracy with many desirable added features but is not well-known in the biomedical image analysis communities.”