Sentence examples for audio alignment from inspiring English sources
Earlier works have addressed the abovementioned first and second issues of long audio alignment in the following three ways: (1) audio-to-audio alignment, (2) acoustic model-to-audio alignment, and (3) text to text alignment.
— Audio Alignment™ technology – Drivers, enclosure and electronics are balanced for optimum sound.
— Audio Alignment™ – Drivers, enclosure and electronics are balanced for optimum sound.
Earlier works on long audio alignment addressing the first and second issue generally preferred reasonable transcripts and mainly focused on (1) less manual intervention, (2) mispronunciation detection, and (3) segmentation error recovery.
The above works on long audio alignment addressing the first and second problems with found data generally prefer reasonable transcripts and mainly focus on (1) less manual intervention, (2) mispronunciation detection, and (3) segmentation error recovery.
Acoustic model-to-audio alignment: Here, acoustic models are aligned with the audio.
1. Audio-to-audio alignment: Here, the text is converted to speech using a TTS system, and the synthesized speech is aligned with the audio [6, 7].
Text analysis in TMM13, was based on part-of-speech tagging and is summarized next: (a) extraction of the movie transcript from the English subtitle file, (b) part-of-speech tagging, (c) audio-text alignment, (d) assignment of a text saliency value {0.2,0.5,0.7,1} to each word, and finally (e) text saliency computation and assignment of a text saliency value to each frame.
Extracting both harmonic and percussive sound sources is useful for remixing and for audio to score alignment [13].
Because of the difficulty of lyrics recognition, many studies have focused on a simpler task of audio and lyrics alignment [14 18], where the textual lyrics to be synchronized with the singing are known.
They have reported an audio-to-score alignment method based on a particle filter and revealed its effectiveness despite tempo changes.
