sherpa-onnx

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Project description

Supported functions

Speech recognition	Speech synthesis	Speaker verification	Speaker identification
✔️	✔️	✔️	✔️

Spoken Language identification	Audio tagging	Voice activity detection	Keyword spotting
✔️	✔️	✔️	✔️

Supported platforms

Architecture	Android	iOS	Windows	macOS	linux
x64	✔️		✔️	✔️	✔️
x86	✔️		✔️
arm64	✔️	✔️	✔️	✔️	✔️
arm32	✔️				✔️
riscv64					✔️

Supported programming languages

C++	C	Python	C#	Java	JavaScript	Kotlin	Swift	Go	Dart
✔️	✔️	✔️	✔️	✔️	✔️	✔️	✔️	✔️	✔️

It also supports WebAssembly.

Introduction

This repository supports running the following functions locally

Speech-to-text (i.e., ASR); both streaming and non-streaming are supported
Text-to-speech (i.e., TTS)
Speaker identification
Speaker verification
Spoken language identification
Audio tagging
VAD (e.g., silero-vad)
Keyword spotting

on the following platforms and operating systems:

x86, x86_64, 32-bit ARM, 64-bit ARM (arm64, aarch64), RISC-V (riscv64)
Linux, macOS, Windows, openKylin
Android, WearOS
iOS
NodeJS
WebAssembly
Raspberry Pi
RV1126
LicheePi4A
VisionFive 2
旭日X3派
etc

with the following APIs

C++, C, Python, Go, C#
Java, Kotlin, JavaScript
Swift
Dart

Links for pre-built Android APKs

Description	URL	中国用户
Streaming speech recognition	Address	点此
Text-to-speech	Address	点此
Voice activity detection (VAD)	Address	点此
VAD + non-streaming speech recognition	Address	点此
Two-pass speech recognition	Address	点此
Audio tagging	Address	点此
Audio tagging (WearOS)	Address	点此
Speaker identification	Address	点此
Spoken language identification	Address	点此
Keyword spotting	Address	点此

Links for pre-trained models

Description	URL
Speech recognition (speech to text, ASR)	Address
Text-to-speech (TTS)	Address
VAD	Address
Keyword spotting	Address
Audio tagging	Address
Speaker identification (Speaker ID)	Address
Spoken language identification (Language ID)	See multi-lingual Whisper ASR models from Speech recognition
Punctuation	Address

Useful links

Documentation: https://k2-fsa.github.io/sherpa/onnx/
Bilibili 演示视频: https://search.bilibili.com/all?keyword=%E6%96%B0%E4%B8%80%E4%BB%A3Kaldi

How to reach us

Please see https://k2-fsa.github.io/sherpa/social-groups.html for 新一代 Kaldi 微信交流群 and QQ 交流群.

Project details

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

1.10.30

Oct 27, 2024

1.10.29

Oct 25, 2024

1.10.28

Oct 13, 2024

1.10.27

Sep 18, 2024

1.10.26

Sep 14, 2024

1.10.25

Sep 13, 2024

1.10.24

Aug 30, 2024

1.10.23

Aug 24, 2024

This version

1.9.30

Jun 16, 2024

1.8.11

Nov 21, 2023

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Hashes for sherpa_onnx-1.9.30-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm	Hash digest
SHA256	`ff390e9fa8407ba1fe330ff9f7b5f854582dfca77e8f7be4dace35226eb58e8e`
MD5	`e522c28294362036d0d310cedebf7e9d`
BLAKE2b-256	`3fc5a707b2a79bcd06acf25719231552eea5a2c7185ada1538ab4c8857db8e9f`

Hashes for sherpa_onnx-1.9.30-cp310-cp310-macosx_11_0_universal2.whl

Hashes for sherpa_onnx-1.9.30-cp310-cp310-macosx_11_0_universal2.whl
Algorithm	Hash digest
SHA256	`35fa4c02d0b01303e119ae4ad66b6c43a0adb112795f466369ffbc70ea70a05c`
MD5	`7cd65eadf35c6a712e4f7196eca7eef5`
BLAKE2b-256	`2db6442e0cdbb68c5eb98f296284488053d74966ce82580dcc47ae340d6172b3`

Hashes for sherpa_onnx-1.9.30-cp310-cp310-macosx_11_0_arm64.whl

Hashes for sherpa_onnx-1.9.30-cp310-cp310-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`f597e6136602d2280fe88f138b7e70d3dd8da8e2393236361a0c48f0777a8d30`
MD5	`9e36c4ae4a29c263b957f7f3c7e20042`
BLAKE2b-256	`19e28783ce8a8fa3a7e21ea487a91fdf755e748dddca6dc8162f9d0d9ca325fa`

Hashes for sherpa_onnx-1.9.30-cp310-cp310-linux_armv7l.whl

Hashes for sherpa_onnx-1.9.30-cp310-cp310-linux_armv7l.whl
Algorithm	Hash digest
SHA256	`aa698c9419587af0d07f01bd75772057d13a665613c41428a9e829cfcf3aa287`
MD5	`cf49beadb7ba874abe78fc43211fe8d2`
BLAKE2b-256	`07f04720df8069a8394d641724b26c2ed4699780b8f1c5520f09b3b9834741bb`

Hashes for sherpa_onnx-1.9.30-cp39-cp39-win_amd64.whl

Hashes for sherpa_onnx-1.9.30-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`ef560fb7b6b720f66f18e1c433391cf79946f277d4e4612e43cd4047a48c0850`
MD5	`63e6fab2d859abd03fea326a5f2b4f15`
BLAKE2b-256	`265e94c837ae26aebab6ec76d5db12d7eea2502e09f244460869e3b2fed1f456`

Hashes for sherpa_onnx-1.9.30-cp39-cp39-win32.whl

Hashes for sherpa_onnx-1.9.30-cp39-cp39-win32.whl
Algorithm	Hash digest
SHA256	`ca12f251ba7ca6ec7bc8b197039d8964d0dea135a99cff12b56fdef5415e95ae`
MD5	`cfe93a7167b82d780535da992b14f6d9`
BLAKE2b-256	`92a96a4a993b65e6abc3a657b3989143f14884f7a03fd4861d4af4fc26477ced`

Hashes for sherpa_onnx-1.9.30-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for sherpa_onnx-1.9.30-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`ddc51e341a6d8d4853a8a36ade8b016b632bce581d7e11a49b469276b6267a86`
MD5	`213450e817862f87ded7c978cfa904e4`
BLAKE2b-256	`8e0bd3ac106f526b0b36deaeb0322a75fdb2537949ae80ca0c47c0a2eb697e46`

Hashes for sherpa_onnx-1.9.30-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for sherpa_onnx-1.9.30-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`4be2327211be281c7b90b1184f30e5e68ee8fbdc23ac65aeebd0091dee9bbf8f`
MD5	`cb462d29917b3b545eb198d07ba1598f`
BLAKE2b-256	`d285cfeeaee9b05b267b5e7995d04f3329e7d91b722119a48a3ca4354ed33ed0`

Hashes for sherpa_onnx-1.9.30-cp39-cp39-macosx_11_0_x86_64.whl

Hashes for sherpa_onnx-1.9.30-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm	Hash digest
SHA256	`ec708b0ad6db177d7b245da9f5d198965e72c968aa352884909ac9b9754ec72a`
MD5	`0e692255e60e83c76d8880557bcd9b2e`
BLAKE2b-256	`a0859af3cbd837015fe6fb4547e81549b4792d4e31207f2dd0dd63599d2f2530`

Hashes for sherpa_onnx-1.9.30-cp39-cp39-macosx_11_0_universal2.whl

Hashes for sherpa_onnx-1.9.30-cp39-cp39-macosx_11_0_universal2.whl
Algorithm	Hash digest
SHA256	`3b9d71bde50604bf2ac6e0dea5ae8c513cfbe648d4f1d01c45845a7e6e898094`
MD5	`df283e2900218a430a5c26f5f7e4e40b`
BLAKE2b-256	`ae61f939dddb91dce40f4af64d2fe680bd80d413e7fa26487c4169c41a6a895c`

Hashes for sherpa_onnx-1.9.30-cp39-cp39-macosx_11_0_arm64.whl

Hashes for sherpa_onnx-1.9.30-cp39-cp39-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`05e1889d4a9f2e4eb37e6c7866a32f75ab6f71bc8784f85cfc290ff59593f9dc`
MD5	`5192211c4929900df3af9fa62bb41bd6`
BLAKE2b-256	`3a11e030307b0576f04a2b2811f0e235b9d8537c822bc3e3d4248f4f7546176a`

Hashes for sherpa_onnx-1.9.30-cp39-cp39-linux_armv7l.whl

Hashes for sherpa_onnx-1.9.30-cp39-cp39-linux_armv7l.whl
Algorithm	Hash digest
SHA256	`7f92904b49d47ceadfbca7930af0218fda2d0019715649efd08169e9cb911abd`
MD5	`47a83eaaa5626f682b3052badcbe8929`
BLAKE2b-256	`b700760102ce4efba10b787166b91a8a218f200628a8571edf86be24ee33b367`

Hashes for sherpa_onnx-1.9.30-cp38-cp38-win_amd64.whl

Hashes for sherpa_onnx-1.9.30-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`f1c2f1e78403c3b7e11792eb6e042b71063f3236fe4a0bad7313e9f221071cb9`
MD5	`4598521eec2ba99b25f94b05f122ecb7`
BLAKE2b-256	`685c7e5ced8e4e2cc02adbb67aa791112cd6635b8b2e63911115cdbbd793bb08`

Hashes for sherpa_onnx-1.9.30-cp38-cp38-win32.whl

Hashes for sherpa_onnx-1.9.30-cp38-cp38-win32.whl
Algorithm	Hash digest
SHA256	`b8cc1b7b794b9740ab08f4deda0ad18ae782a91ebd318c8815aa692269afb943`
MD5	`c98864ec32b97f4df40bc48390bb1f63`
BLAKE2b-256	`88904648f79dcc6b4fb6890f62731ec9693614a6e0f316f15b77486b0853346d`

Hashes for sherpa_onnx-1.9.30-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for sherpa_onnx-1.9.30-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`fbfca253d1a2a84a5faf34ec753d4571592d4459305f5e92349db9f8a423361b`
MD5	`379d6263b8e42a1e56b17bfd8469dfe8`
BLAKE2b-256	`4fef2bd0d1f2ca726ae2bd521d183f6b270847bb50297068899981ad971a522e`

Hashes for sherpa_onnx-1.9.30-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for sherpa_onnx-1.9.30-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`2f5dabbaeb591bc95e27a6256db3959d16f47ad7063972914618ef0e753c175b`
MD5	`3d8efe099a03c17fe4a3532f1a4f9fc7`
BLAKE2b-256	`dc54163292f4ef05f40a629c93e4a4b87401e0cae9154073e15bc6ac12ec1036`

Hashes for sherpa_onnx-1.9.30-cp38-cp38-macosx_11_0_x86_64.whl

Hashes for sherpa_onnx-1.9.30-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm	Hash digest
SHA256	`1bf6b0923b77d58314bcdf401ef16f2e032ce2a23bdda7bb79d74f0d1100425b`
MD5	`555e20c25e23434a1fae031e4d754f4b`
BLAKE2b-256	`2210a23c4b4b9b411b040e6b791f03475eda82d163c2743b7b0bd2d80dd30483`

Hashes for sherpa_onnx-1.9.30-cp38-cp38-macosx_11_0_universal2.whl

Hashes for sherpa_onnx-1.9.30-cp38-cp38-macosx_11_0_universal2.whl
Algorithm	Hash digest
SHA256	`0617b87a7d76162a0ffd7a85e2f73592dff941cbbb6937e63eeb3e1eb75acd30`
MD5	`9e05a8d126c4eed2f363168b00650888`
BLAKE2b-256	`dcad206e36731598d2719a471e530c1aab15f72ba2d675e70d5e4451bb19022b`

Hashes for sherpa_onnx-1.9.30-cp38-cp38-macosx_11_0_arm64.whl

Hashes for sherpa_onnx-1.9.30-cp38-cp38-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`13702f69ea835b2715de8054362048a9a2b5c72de7522f229f752c4dc9ee3fe8`
MD5	`23f62b61179695f5034eb794b60e801d`
BLAKE2b-256	`101c7d52762df3841856561446d8051a54a6ba80d8c8562e91f1d87858347f4a`

Hashes for sherpa_onnx-1.9.30-cp38-cp38-linux_armv7l.whl

Hashes for sherpa_onnx-1.9.30-cp38-cp38-linux_armv7l.whl
Algorithm	Hash digest
SHA256	`f06dc6204d66c4c0ea92378dd630f32665c5ff4e00efecf4ac1e409faf25b401`
MD5	`974a417c6c6902b4e2b9bc763ab551a3`
BLAKE2b-256	`47fd62c270bed8b1cd67d9587a8c24594aec487f1aa355eb61859552cfb28382`

Hashes for sherpa_onnx-1.9.30-cp37-cp37m-win_amd64.whl

Hashes for sherpa_onnx-1.9.30-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`e0d4a8a647bbc10f4397c8abf275e638cefa862efc6abea460fdd77aa90e395c`
MD5	`aa3917fd7ec7f06281773413e3611db2`
BLAKE2b-256	`0d3bb3e08b5851b56c4de160124a79a7b0300e947bbf96fb2e573d2b0cf1eb19`

Hashes for sherpa_onnx-1.9.30-cp37-cp37m-win32.whl

Hashes for sherpa_onnx-1.9.30-cp37-cp37m-win32.whl
Algorithm	Hash digest
SHA256	`354e5dbbbad219bae67b0b72bee3e10380182e220ee8964efc5f83816602a862`
MD5	`a893c530a3b7c3dd7afdb61d8fb89f52`
BLAKE2b-256	`154d130c3334c966a96106a2be3eebaaf7afb3ca2c376c29a360560349462ea9`

Hashes for sherpa_onnx-1.9.30-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for sherpa_onnx-1.9.30-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`b78ea7c80d1c83d3ae6704c42997f514d46c19e28230a8d6a362456b4f8dac4f`
MD5	`f47f61535d5d8964ced4ae3e53b3b5ab`
BLAKE2b-256	`fdeeb9ed7743646cdecb065d46316320fb153063780b607f1acecad438e60f38`

Hashes for sherpa_onnx-1.9.30-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for sherpa_onnx-1.9.30-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`2a5bb06f6fcac36ad798cdedbf3ced7228218a0c1a1848d89f1f490a24c30f25`
MD5	`0658bab1f198a4ba4f3eeda333e3965c`
BLAKE2b-256	`4fdc2aac8f7e409186982e1182b0714400e8c468b844a8299244a1c932c97ec4`

Hashes for sherpa_onnx-1.9.30-cp37-cp37m-linux_armv7l.whl

Hashes for sherpa_onnx-1.9.30-cp37-cp37m-linux_armv7l.whl
Algorithm	Hash digest
SHA256	`073481a3635ba17aede866bdac17b81534992a4d44eea13876ac264aca635665`
MD5	`36d1ec5d80223a7b7c992aa567e611fc`
BLAKE2b-256	`6e2266c32c19ecc2334a1e2ca1fbceb81dcc197ae4c172f82db827b3a3874869`