Editing State-of-the-art (section)

=== Introduction ===

In the realm of automatic speech recognition, two distinct, yet in a way connected topics have attracted limited attention: whispering speech and child speech recognition. Both whispering speech and child voices exhibit unique acoustic characteristics that differ from typical, neutral speech, and thus require special attention and approaches. Whispering speech poses unique challenges due to its reduced dynamic range and spectral variations, while children's speech often lacks the articulation found in adult speech, which can complicate the task of separating their voices in noisy environments. Recent advancements we discuss below have proven useful in these two domains, which underscores the ongoing efforts to improve the accuracy, robustness, and general adaptability of ASR and speech technology in general in diverse linguistic and environmental contexts.