TS to HTK Converter

Extract HTK Speech audio from TS recordings online

Drop files here. 1 GB maximum file size or Sign Up
to
Facebook Amazon Microsoft Tesla Nestle Walmart L'Oreal

Specialized Output

HTK serves HTK format for speech recognition research. Extract the exact format your workflow requires from TS sources.

Cloud Processing

Extraction runs on our servers — no specialized tools needed on your machine.

Secure Handling

Uploaded TS files are deleted after conversion. HTK outputs are removed within 24 hours.

How to convert TS to HTK

1

Select files from Computer, Google Drive, Dropbox, URL or by dragging it on the page.

2

Choose htk or any other format you need as a result (more than 200 formats supported)

3

Let the file convert and you can download your htk file right afterwards

About formats

TS (MPEG Transport Stream) is a standard container format specified as part of the MPEG-2 systems layer (ISO/IEC 13818-1), standardized by the Moving Picture Experts Group in 1995. Transport streams are designed for communication and storage environments where data loss or corruption is possible, such as broadcast television, satellite transmission, and network streaming. The format divides content into fixed-size 188-byte packets, each carrying a 4-byte header with synchronization, error indication, and stream identification information. This packet structure enables receivers to rapidly resynchronize after signal interruptions, a critical capability for real-time broadcast delivery that distinguishes transport streams from program streams designed for reliable storage media. TS can multiplex multiple programs into a single stream, with Program Specific Information (PSI) tables describing the structure and content of each program. The format supports virtually any audio and video codec, though it most commonly carries MPEG-2 video, H.264, or HEVC alongside AAC, AC-3, or MPEG audio. TS is the backbone of digital television delivery worldwide, used by DVB, ATSC, and ISDB broadcasting standards as well as IPTV and OTT streaming services utilizing HTTP Live Streaming (HLS). Resilience, standardized structure, and broad codec support make TS equally at home in live broadcast chains and file-based recording workflows.
Initial release: 1995
HTK is the native waveform container for the Hidden Markov Model Toolkit, a software suite developed at Cambridge University's Engineering Department for speech recognition research. First distributed in 1993, HTK rapidly became a reference platform in computational linguistics labs worldwide, and its file format followed suit. Each file stores a sequence of parameter vectors or raw samples prefixed by a 12-byte header specifying the number of frames, the frame period in 100 ns units, the byte count per frame, and a type code indicating the data kind — options range from waveform PCM to Mel-frequency cepstral coefficients and filter-bank energies. This versatility lets a single container carry both source audio and extracted features without changing parsers. The deliberately minimal header avoids alignment padding or optional chunks, making the format trivial to read from C, Python, or MATLAB with a few lines of binary I/O. Three advantages underpin HTK's lasting relevance: tight integration with the HTK training and recognition pipeline, deterministic byte layout that eliminates parser ambiguity, and widespread adoption in academic corpora.
Initial release: 1993

Frequently Asked Questions

Why convert TS to HTK?

HTK provides HTK format for speech recognition research. Converting extracts compatible audio data from your TS broadcast recordings.

What software handles HTK?

Specialized audio tools, SoX, and format-specific applications handle HTK files for playback and processing.

Is HTK widely supported?

HTK serves specific use cases. For general audio, MP3, WAV, or FLAC are more broadly compatible.

Can I adjust settings?

Yes — configure sample rate and encoding parameters before converting to match your target system.

Is batch conversion available?

Upload multiple TS files and extract HTK audio from each simultaneously in one session.