DivX to SPH Converter

Extract DivX audio as NIST SPHERE speech data online

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Video to Speech Corpus

Extract dialogue and speech from DivX videos directly into SPHERE format — skipping manual steps when assembling research audio datasets.

NIST Compliant

Output SPH files follow the NIST SPHERE specification. Import directly into Kaldi, HTK, or other speech recognition training frameworks.

Runs in the Cloud

DivX audio extraction and SPH encoding happen on our servers. No local SPHERE toolkit or audio tools installation needed.

How to convert DIVX to SPH

1

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

2

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

3

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

About formats

DivX is a family of video codecs and a media container format developed by DivX, LLC. The project traces its roots to a hacked version of the Microsoft MPEG-4 v3 codec that circulated in the late 1990s, but the legitimate DivX codec launched in January 2001 as an open-source project called OpenDivX before transitioning to a proprietary commercial product. The codec is based on MPEG-4 Part 2 (ASP) compression and later versions incorporated H.264/AVC and HEVC support. DivX gained enormous popularity in the early 2000s for its ability to compress a full-length movie into a file small enough to fit on a single CD-ROM while maintaining watchable visual quality. This compression efficiency made DivX a defining format of the early internet era, when bandwidth and storage were scarce resources. The DivX Media Format (.divx) container adds features like interactive menus, chapters, subtitles, and alternate audio tracks, bringing DVD-like functionality to digital files. DivX certification became a common label on consumer electronics, with thousands of DVD players and other devices supporting DivX playback natively. The codec also pioneered quality-based variable bit rate encoding that allocates more data to complex scenes and less to static ones, resulting in consistent visual quality throughout a video.
Developer: DivX, LLC
Initial release: January 15, 2001
SPH is the file extension for audio stored in the NIST SPHERE (SPeech HEader REsources) format, a standard created by the U.S. National Institute of Standards and Technology around 1990. Built for speech research, SPH files carry a 1024-byte ASCII header packed with metadata — database identifiers, channel counts, sample rates, byte ordering, and compression type — making every recording self-describing. The underlying audio is typically 16-bit linear PCM sampled at 16 kHz, though other configurations are permitted. Researchers at NIST, DARPA, and universities worldwide rely on SPH for distributing speech corpora such as TIMIT, Switchboard, and the LDC collections that underpin modern automatic speech recognition systems. A key advantage is that the human-readable header lets scripts parse recording metadata without binary decoding. The format's strict standardization also eliminates ambiguity when sharing datasets across institutions and platforms. Because SPH files store uncompressed PCM, they preserve full audio fidelity — critical when training acoustic models where even small artifacts can skew results.
Initial release: 1990

Frequently Asked Questions

Why convert DivX to SPH?

SPH (SPHERE) is the NIST standard for speech research audio. Converting DivX audio to SPH prepares video dialogue for linguistic datasets.

What tools read SPH?

Kaldi, HTK, Praat, and the NIST SPHERE toolkit all support SPH files. SOX can also handle this format for processing and conversion.

Does SPH preserve audio quality?

SPH stores PCM audio without compression. Speech extracted from DivX retains full quality — crucial for accurate research and training data.

Is SPH the same as NIST?

Yes — SPH and NIST both refer to the SPHERE format standardized by the National Institute of Standards and Technology for speech audio.

Can I process many DivX videos?

Batch upload multiple DivX files and convert them all to SPH at once. This accelerates building speech corpora from video archives.