Convert TXT to STM

Understanding txt and stm file formats

TXT files are simple plain text documents that contain unformatted text. They are widely used for storing notes, logs, and readable data without any special formatting or structure.

STM files, in the context of speech and language processing, are Segment Time Marked files. These are used to annotate audio files with time-aligned transcriptions, commonly in speech recognition and linguistic research. STM files follow a specific format, marking speaker turns, start and end times, and the transcribed text.

How to convert txt to stm

Converting a TXT file to an STM file involves more than just changing the file extension. You need to structure the text according to the STM format, which typically includes fields like filename, channel, speaker, start time, end time, and the transcription.

Manual conversion is possible for small files, but for larger datasets or batch processing, specialized tools are recommended.

Best software and tools for txt to stm conversion

• ELAN: A linguistic annotation tool that can import plain text and export in STM format. Use File → Export As → STM.
• Praat: While primarily for phonetic analysis, Praat scripts can be used to format and export annotations as STM files.
• Custom Python scripts: For advanced users, Python libraries like pandas or NLTK can be used to parse TXT files and output STM-formatted files.

Step-by-step conversion using ELAN

1. Open ELAN and import your TXT file using File → Import.
2. Align the text with audio if available, or segment the text as needed.
3. Export the annotation as an STM file via File → Export As → STM.

Tips for accurate conversion

• Ensure your TXT file is well-structured, with clear speaker and time information if possible.
• Review the STM file after conversion to verify correct formatting and alignment.
• Refer to the official STM format specification for details.