{"id":115540,"date":"2024-05-04T19:52:06","date_gmt":"2024-05-04T17:52:06","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/osnovatel-qemu-i-ffmpeg-opublikoval-zvukovoj-kodek-tsac"},"modified":"2024-05-04T19:52:06","modified_gmt":"2024-05-04T17:52:06","slug":"osnovatel-qemu-i-ffmpeg-opublikoval-zvukovoj-kodek-tsac","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/news\/osnovatel-qemu-i-ffmpeg-opublikoval-zvukovoj-kodek-tsac","title":{"rendered":"The founder of QEMU and FFmpeg has published the TSAC audio codec","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

French mathematician Fabrice Bellard, who once founded the QEMU, FFmpeg, BPG, QuickJS, TinyGL, and TinyCC projects, has published the TSAC audio encoding format and accompanying tools for compressing and unpacking audio files. The format is designed for data transmission at very low bitrates, for instance, 5.5 kb\/s for mono and 7.5 kb\/s for stereo, while maintaining acceptable quality for music and speech. Using TSAC allows packing a 3.5-minute music piece at a 44.1 kHz sampling rate (stereo) into a file sized 192 KB, which will be almost indistinguishable from the original to the untrained ear. The project's code is distributed under the MIT license. <\/p>\n

\u0412 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u043e\u0441\u043d\u043e\u0432\u044b \u043f\u0440\u0438 \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0438 TSAC \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d \u0437\u0432\u0443\u043a\u043e\u0432\u043e\u0439 \u043a\u043e\u0434\u0435\u043a Descript, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d \u0434\u043b\u044f \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0438 \u0441\u0442\u0435\u0440\u0435\u043e\u0437\u0432\u0443\u043a\u0430 \u0438 \u043f\u0435\u0440\u0435\u0432\u0435\u0434\u0451\u043d \u043d\u0430 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0434\u0440\u0443\u0433\u043e\u0439 \u043c\u043e\u0434\u0435\u043b\u0438 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u043d\u0430 \u0431\u0430\u0437\u0435 \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u043e\u0439 \u0441\u0435\u0442\u0438 \u0441 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u043e\u0439 «\u0442\u0440\u0430\u043d\u0441\u0444\u043e\u0440\u043c\u0435\u0440», \u043f\u043e\u0437\u0432\u043e\u043b\u0438\u0432\u0448\u0435\u0439 \u0443\u0432\u0435\u043b\u0438\u0447\u0438\u0442\u044c \u0441\u0442\u0435\u043f\u0435\u043d\u044c \u0441\u0436\u0430\u0442\u0438\u044f \u0437\u0430 \u0441\u0447\u0451\u0442 \u0440\u0435\u043a\u043e\u043d\u0441\u0442\u0440\u0443\u043a\u0446\u0438\u0438 \u0443\u0442\u0435\u0440\u044f\u043d\u043d\u044b\u0445 \u0434\u0435\u0442\u0430\u043b\u0435\u0439 \u0441 \u0443\u0447\u0451\u0442\u043e\u043c \u043c\u043e\u0434\u0435\u043b\u0438 \u0447\u0435\u043b\u043e\u0432\u0435\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0441\u043b\u0443\u0445\u043e\u0432\u043e\u0433\u043e \u0432\u043e\u0441\u043f\u0440\u0438\u044f\u0442\u0438\u044f. \u041c\u043e\u0434\u0435\u043b\u044c \u0437\u0430\u043d\u0438\u043c\u0430\u0435\u0442 \u043e\u043a\u043e\u043b\u043e 200 \u041c\u0411 \u0432 \u0441\u0436\u0430\u0442\u043e\u043c \u0432\u0438\u0434\u0435 \u0438 \u043e\u0444\u043e\u0440\u043c\u043b\u0435\u043d\u0430 \u0432 \u0434\u0435\u0442\u0435\u0440\u043c\u0438\u043d\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0439 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u0438, \u043a\u043e\u0442\u043e\u0440\u043e\u0435 \u0433\u0430\u0440\u0430\u043d\u0442\u0438\u0440\u0443\u0435\u0442 \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u0435 \u043e\u0434\u0438\u043d\u0430\u043a\u043e\u0432\u043e\u0433\u043e \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0430 \u043d\u0435\u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e \u043e\u0442 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c\u044b\u0445 CPU\/GPU \u0438 \u0447\u0438\u0441\u043b\u0430 \u0437\u0430\u0434\u0435\u0439\u0441\u0442\u0432\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u043f\u0440\u0438 \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f\u0445 \u043f\u043e\u0442\u043e\u043a\u043e\u0432. <\/p>\n

The encoder can work using only the CPU for computations (AVX2 instructions are supported for acceleration), but to achieve high performance, it is recommended to use the GPU. In its current form, CUDA API can be employed for acceleration using NVIDIA GPUs based on Ampere, ADA, and Hopper microarchitectures (RTX 3090, RTX 4090, RTX A6000, A100, and H100), which have at least 4 GB of video memory. FFmpeg is used to convert audio files before encoding.

originalstereo 6.21 kb\/smono 4.71 kb\/sstereo 2.57 kb\/s<\/center> <\/p>\n

\u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u043c\u043e\u0436\u043d\u043e \u043e\u0442\u043c\u0435\u0442\u0438\u0442\u044c \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u0435\u043c\u043e\u0439 \u0411\u0435\u043b\u043b\u0430\u0440\u043e\u043c \u0443\u0442\u0438\u043b\u0438\u0442\u044b ts_zip, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u043e\u0439 \u0434\u043b\u044f \u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e\u0433\u043e \u0441\u0436\u0430\u0442\u0438\u044f \u0442\u0435\u043a\u0441\u0442\u043e\u0432\u044b\u0445 \u0434\u0430\u043d\u043d\u044b\u0445, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u043c\u0435\u0445\u0430\u043d\u0438\u0437\u043c \u043f\u0440\u0435\u0434\u0441\u043a\u0430\u0437\u0430\u043d\u0438\u044f \u0442\u043e\u043a\u0435\u043d\u043e\u0432 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0438 \u0431\u043e\u043b\u044c\u0448\u043e\u0439 \u044f\u0437\u044b\u043a\u043e\u0432\u043e\u0439 \u043c\u043e\u0434\u0435\u043b\u0438 RWKV 169M v4. \u041f\u0440\u0438 \u0441\u0436\u0430\u0442\u0438\u0438 \u0430\u0440\u0445\u0438\u0432\u0430 \u0432\u0438\u043a\u0438\u043f\u0435\u0434\u0438\u0438 \u0443\u0442\u0438\u043b\u0438\u0442\u0430 ts_zip \u043f\u043e\u0437\u0432\u043e\u043b\u0438\u043b\u0430 \u0441\u0436\u0430\u0442\u044c \u0434\u0430\u043d\u043d\u044b\u0435 \u0432 7.3 \u0440\u0430\u0437\u0430, \u0430 \u043f\u0440\u0438 \u0441\u0436\u0430\u0442\u0438\u0438 \u043a\u043e\u0434\u0430 \u044f\u0434\u0440\u0430 Linux 1.2 — \u0432 7.8 \u0440\u0430\u0437. \u0414\u043b\u044f \u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u044f \u0443\u0440\u043e\u0432\u043d\u0438 \u0441\u0436\u0430\u0442\u0438\u044f \u043f\u0440\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0438 \u0443\u0442\u0438\u043b\u0438\u0442\u044b xz \u0441\u043e\u0441\u0442\u0430\u0432\u0438\u043b\u0438 4.7 \u0438 5.5 \u0440\u0430\u0437, \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0435\u043d\u043d\u043e. \u0426\u0435\u043d\u043e\u0439 \u0432\u044b\u0441\u043e\u043a\u043e\u0439 \u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u0438 \u0441\u0436\u0430\u0442\u0438\u044f \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043d\u0438\u0437\u043a\u0430\u044f \u0441\u043a\u043e\u0440\u043e\u0441\u0442\u044c \u0441\u0436\u0430\u0442\u0438\u044f \u0438 \u0431\u043e\u043b\u044c\u0448\u0438\u0435 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f \u043a \u0440\u0435\u0441\u0443\u0440\u0441\u0430\u043c (\u043c\u0438\u043d\u0438\u043c\u0443\u043c 4 \u0413\u0411 \u041e\u0417\u0423). \u041d\u0430 \u0441\u0438\u0441\u0442\u0435\u043c\u0435 \u0441 GPU RTX 4090 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u0441\u0436\u0430\u0442\u0438\u044f \u0441\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u043f\u0440\u0438\u043c\u0435\u0440\u043d\u043e 1 MB\/s.
\n
Burimi: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u0424\u0440\u0430\u043d\u0446\u0443\u0437\u0441\u043a\u0438\u0439 \u043c\u0430\u0442\u0435\u043c\u0430\u0442\u0438\u043a \u0424\u0430\u0431\u0440\u0438\u0441 \u0411\u0435\u043b\u043b\u0430\u0440 (Fabrice Bellard), \u043e\u0441\u043d\u043e\u0432\u0430\u0432\u0448\u0438\u0439 \u0432 \u0441\u0432\u043e\u0451 \u0432\u0440\u0435\u043c\u044f \u043f\u0440\u043e\u0435\u043a\u0442\u044b QEMU, FFmpeg, BPG, QuickJS, TinyGL \u0438 TinyCC, \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043b \u0444\u043e\u0440\u043c\u0430\u0442 \u043a\u043e\u0434\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0437\u0432\u0443\u043a\u0430 TSAC \u0438 \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u0439 \u0441 \u043d\u0438\u043c \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 \u0434\u043b\u044f \u0441\u0436\u0430\u0442\u0438\u044f \u0438 \u0440\u0430\u0441\u043f\u0430\u043a\u043e\u0432\u043a\u0438 \u0437\u0432\u0443\u043a\u043e\u0432\u044b\u0445 \u0444\u0430\u0439\u043b\u043e\u0432. \u0424\u043e\u0440\u043c\u0430\u0442 \u043e\u0440\u0438\u0435\u043d\u0442\u0438\u0440\u043e\u0432\u0430\u043d \u043d\u0430 \u043f\u0435\u0440\u0435\u0434\u0430\u0447\u0443 \u0434\u0430\u043d\u043d\u044b\u0445 \u0441 \u043e\u0447\u0435\u043d\u044c \u043d\u0438\u0437\u043a\u0438\u043c \u0431\u0438\u0442\u0440\u0435\u0439\u0442\u043e\u043c, \u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, 5.5 kb\/s \u0434\u043b\u044f \u043c\u043e\u043d\u043e \u0438 7.5 kb\/s \u0434\u043b\u044f \u0441\u0442\u0435\u0440\u0435\u043e, \u043f\u0440\u0438 \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u0438 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