  Labeling speech down to the identity and time boundaries of phones is a
labor-intensive part of phonetic research. To simplify this work, we created a
free open-source tool generating phone sequences from Czech text and
time-aligning them with audio.
  Low architecture complexity makes the design approachable for students of
phonetics. Acoustic model ReLU NN with 56k weights was trained using PyTorch on
small CommonVoice data. Alignment and variant selection decoder is implemented
in Python with matrix library.
  A Czech pronunciation generator is composed of simple rule-based blocks
capturing the logic of the language where possible, allowing modification of
transcription approach details.
  Compared to tools used until now, data preparation efficiency improved, the
tool is usable on Mac, Linux and Windows in Praat GUI or command line, achieves
mostly correct pronunciation variant choice including glottal stop detection,
algorithmically captures most of Czech assimilation logic and is both didactic
and practical.
