While in theory, a relatively local context could suffices for ASR, this is complicated by alphabets L which violate the conditional independence assumption of CTC (e.g., English characters [36] ). Wide contexts also enable incorporation of noise/speaker contexts, as <cite>[27]</cite> suggest regarding the broad-context attention heads in the first layer of their self-attentional LAS model.