SLN to HTK Converter

Export Asterisk SLN audio to HTK speech recognition format

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Research-Ready Output

Convert SLN telephony recordings directly into HTK format — ready for speech recognition experiments and linguistic analysis.

PBX to Research

Bridge Asterisk telephony systems and academic speech research by converting SLN recordings into HTK-compatible files.

Data Protection

Your telephony recordings are handled privately. All uploaded and converted files are deleted automatically.

How to convert SLN 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

SLN (Signed Linear) is a headerless raw audio format storing 16-bit signed linear PCM samples at 8000 Hz mono, most closely associated with Asterisk — the open-source PBX framework developed by Digium (now Sangoma Technologies). Within Asterisk, SLN serves as the native internal audio representation: every codec transcoding operation passes through signed linear as an intermediate step. This makes SLN the backbone of Asterisk's codec translation architecture. The format contains nothing but raw samples — no headers, no metadata, no framing — so parameters must be known in advance. While this lack of self-description might seem limiting, it is actually an advantage in telephony where sample format is fixed by convention and every overhead byte matters across thousands of simultaneous channels. The 8000 Hz rate aligns with the G.711 standard for traditional telephony, capturing the full 300-3400 Hz voice band. Asterisk also supports extended variants (sln16, sln32, sln48) for wideband audio. SLN files require no decoding — just direct memory mapping — making them ideal for real-time mixing, conferencing, and prompt playback in high-density VoIP environments.
Initial release: 1999
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 SLN to HTK?

HTK format is used by the Hidden Markov Model Toolkit for speech recognition research. Converting SLN prepares telephony audio for analysis.

What uses HTK files?

The HTK speech recognition toolkit, academic research tools, and speech analysis frameworks work with HTK format data.

Is HTK suitable for general playback?

No — HTK is a research format designed for speech recognition experiments, not general-purpose audio playback.

Can I convert a batch of files?

Upload multiple SLN recordings and convert them all to HTK in one session — ideal for preparing research datasets.

Is the conversion secure?

SLN uploads are deleted after processing, and HTK output files are removed from servers within 24 hours.