Learn multilingual spoken term detection techniques in this 84-minute workshop lecture from the Center for Language & Speech Processing at Johns Hopkins University. Explore methods for automatically identifying and locating specific terms within spoken audio across multiple languages, covering fundamental approaches to cross-lingual speech processing and term detection algorithms. Gain insights into the challenges of processing multilingual audio data and discover computational techniques for building robust spoken term detection systems that can operate effectively across different language families and acoustic environments.