Towards reduced false-alarms using cohorts

By Zahi N. Karam, William M. Campbell, Najim Dehak. 2011

67 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. Jinyu Li
2. Shujie Liu
3. Zhuo Chen
4. Yu Wu
5. Takuya Yoshioka
6. Sanyuan Chen
7. Dong Yu
8. Furu Wei

In Signal Processing

1. Jinyu Li
2. Zhuo Chen
3. Takuya Yoshioka
4. Shujie Liu
5. Yu Wu
6. Sanyuan Chen
7. Dong Yu
8. Naoyuki Kanda

Citations in the corpus

• WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing (2021, methodology): “We also use the adaptive s-norm (Karam et al., 2011; Cumani et al., 2011) to normalize the trial scores.”
• ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification (2020, methodology): “extracted from the final fullyconnected layer for all systems. Trial scores are produced using the cosine distance between embeddings. Subsequently, all the scores are normalized using adaptive s-norm [26, 27]. The Table 1: EER and MinDCF performance of all systems on the standard VoxCeleb1 and VoxSR”