  This paper presents the problems and solutions addressed at the JSALT
workshop when using a single microphone for speaker detection in adverse
scenarios. The main focus was to tackle a wide range of conditions that go from
meetings to wild speech. We describe the research threads we explored and a set
of modules that was successful for these scenarios. The ultimate goal was to
explore speaker detection; but our first finding was that an effective
diarization improves detection, and not having a diarization stage impoverishes
the performance. All the different configurations of our research agree on this
fact and follow a main backbone that includes diarization as a previous stage.
With this backbone, we analyzed the following problems: voice activity
detection, how to deal with noisy signals, domain mismatch, how to improve the
clustering; and the overall impact of previous stages in the final speaker
detection. In this paper, we show partial results for speaker diarizarion to
have a better understanding of the problem and we present the final results for
speaker detection.
