TopicListener: Tracking key topics from multi-channel speech audio streams
Market Need There is a large quantity of information communicated through speech audio streams (phone calls, broadcasts, commentary etc.) across many industries. In many instances this information is of potentially high value but is discarded for lack of efficient and accurate information retrieval strategies. Speech recognition technologies partially solve this problem but the output texts are still high volume, noisy and difficult to interpret and summarize Technology Solution TopicListener integrates the power of automatic speech recognition and text based topic modeling technologies Focuses on the most salient topics, events and issues Topic tracking can work in an incremental way [...]
TimeSeriesClustering: A comparison tool for time series clustering techniques
MARKET NEED Clustering time series data can be used across many different industries for tasks such as identifying common behaviours, detecting outliers, and discovering groupings based on similar patterns. A common challenge in time series clustering is that there are many different clustering algorithms and data representations that all produce different ‘valid’ cluster assignments. It is often hard to determine which clustering approach is best for a particular objective. Running multiple clustering techniques over the same time series data and being able to compare their outputs in an intuitive way is not directly supported by many tools currently on [...]
