“…However, such representations are still not good enough for other downstream tasks that need to handle larger word-like units that typically span larger time windows (100ms-1000ms) and have varying duration depending on speech rate. These tasks include word segmentation [4,5] term discovery [6,7,8,9,10,11] and unsupervised alignment of text and speech [12,13] Despite recent research efforts into developing word embeddings also known as speech sequence embeddings (SSE), [14,15,16,17,18] their performances are low and difficult to compare for lack of a common evaluation benchmark.…”