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The general difficulty of measuring performance lies in the fact that the recognized word sequence can have a different length from the reference word sequence (supposedly the correct one). The WER is derived from the Levenshtein distance, working at the word level instead of the phoneme level. The WER is a valuable tool for comparing different ...
For general transcription, media files can be played back on a computer (or other device capable of playback) and paused for transcription in a text editor. Other (cross-platform) tools to assist this process include Audacity and Transcriber, while a program like ELAN (described further below) can also perform this function.
Transcriber is an open-source software tool for the transcription and annotation of speech signals for linguistic research. It supports multiple hierarchical layers of segmentation, named entity annotation, speaker lists, topic lists, and overlapping speakers. Two views of the sound pressure waveform at different resolutions may be viewed ...
According to Andranik Tangian, [7] analytical phrasing can be quite subjective, the only point is that it should follow a certain logic. For example, Webern’s Klangfarbenmelodie-styled orchestral arrangement of Ricercar from Bach’s Musical offering demonstrates Webern’s analytical phrasing of the theme, which is quite subjective on the one hand but, on the other hand, logically consistent:
Bitext word alignment finds out corresponding words in two texts. Bitext word alignment or simply word alignment is the natural language processing task of identifying translation relationships among the words (or more rarely multiword units) in a bitext, resulting in a bipartite graph between the two sides of the bitext, with an arc between two words if and only if they are translations of ...
It is based on an assumption that the probability of the next word in a sequence depends only on a fixed size window of previous words. If only one previous word is considered, it is called a bigram model; if two words, a trigram model; if n − 1 words, an n-gram model. [2]