diff --git a/runtime/build.sh b/runtime/build.sh index 7d777fe40..4a27766a9 100755 --- a/runtime/build.sh +++ b/runtime/build.sh @@ -11,7 +11,7 @@ mkdir -p ${BUILD_DIR} # https://www.paddlepaddle.org.cn/documentation/docs/zh/install/docker/linux-docker.html #cmake -B build -DBUILD_SHARED_LIBS=OFF -DWITH_ASR=OFF -DWITH_CLS=OFF -DWITH_VAD=ON -DFASTDEPLOY_INSTALL_DIR=/workspace/zhanghui/paddle/FastDeploy/build/Android/arm64-v8a-api-21/install cmake -B ${BUILD_DIR} \ - -DCMAKE_BUILD_TYPE=Debug \ + -DCMAKE_BUILD_TYPE=Release \ -DBUILD_SHARED_LIBS=OFF \ -DWITH_ASR=OFF \ -DWITH_CLS=OFF \ diff --git a/runtime/examples/vad/README.md b/runtime/examples/vad/README.md index 6df4359e1..b521063b0 100644 --- a/runtime/examples/vad/README.md +++ b/runtime/examples/vad/README.md @@ -4,6 +4,63 @@ This directory provides VAD models on CPU/GPU. ![](https://user-images.githubusercontent.com/36505480/198026365-8da383e0-5398-4a12-b7f8-22c2c0059512.png) + +## VAD Interface + +For vad interface please see [](../../engine/vad/interface/). + +### Create Handdle + +```c++ +PPSHandle_t PPSVadCreateInstance(const char* conf_path); +``` + +### Destroy Handdle + +```c++ +int PPSVadDestroyInstance(PPSHandle_t instance); +``` + +### Reset Vad State + +```c++ +int PPSVadReset(PPSHandle_t instance); +``` + +Reset Vad state before processing next `wav`. + +### Get Chunk Size + +```c++ +int PPSVadChunkSizeSamples(PPSHandle_t instance); +``` + +This API will return chunk size in `sample` unit. +When do forward, we need feed `chunk size` samples, except last chunk. + +### Vad Forward + +```c++ +PPSVadState_t PPSVadFeedForward(PPSHandle_t instance, + float* chunk, + int num_element); +``` + +Vad has below states: +```c++ +typedef enum { + PPS_VAD_ILLEGAL = 0, // error + PPS_VAD_SIL, // silence + PPS_VAD_START, // start speech + PPS_VAD_SPEECH, // in speech + PPS_VAD_END, // end speech + PPS_VAD_NUMSTATES, // number of states +} PPSVadState_t; +``` + +If `PPSVadFeedForward` occur an error will return `PPS_VAD_ILLEGAL` state. + + ## Linux ### Build Runtime @@ -17,7 +74,7 @@ Since VAD using FastDeploy runtime, if you have another FastDeploy Library, you ```bash # cd /path/to/paddlespeech/runtime -cmake -B build -DBUILD_SHARED_LIBS=OFF -DWITH_ASR=OFF -DWITH_CLS=OFF -DWITH_VAD=ON -DFASTDEPLOY_INSTALL_DIR=/workspace/zhanghui/paddle/FastDeploy/build/Linux/x86_64/install +cmake -B build -DBUILD_SHARED_LIBS=OFF -DWITH_ASR=OFF -DWITH_CLS=OFF -DWITH_VAD=ON -DFASTDEPLOY_INSTALL_DIR=/workspace//paddle/FastDeploy/build/Linux/x86_64/install cmake --build build ``` @@ -31,28 +88,47 @@ After building success, we can do this to run demo under this example dir: bash run.sh ``` -### Result +The output like these: ```bash -/workspace/zhanghui/PaddleSpeech/runtime/engine/vad/nnet/vad.cc(92)::SetConfig sr=16000 threshold=0.45 frame_ms=32 min_silence_duration_ms=200 speech_pad_left_ms=0 speech_pad_right_ms=0[INFO] fastdeploy/runtime/runtime.cc(293)::CreateOrtBackend Runtime initialized with Backend::ORT in Device::CPU./workspace/zhanghui/PaddleSpeech/runtime/engine/vad/nnet/vad.cc(141)::Initialize init done. -[SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [STA] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [END] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [STA] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SIL] [SIL] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [END] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [STA] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [END] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [STA] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SIL] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [END] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] speak start: 0.32 s, end: 2.496 s | speak start: 3.296 s, end: 4.672 s | speak start: 5.408 s, end: 7.936 s | speak start: 8.192 s, end: 10.72 s +/workspace//PaddleSpeech/runtime/engine/vad/nnet/vad.cc(88)::SetConfig sr=16 threshold=0.5 beam=0.15 frame_ms=32 min_silence_duration_ms=200 speech_pad_left_ms=0 speech_pad_right_ms=0[INFO] fastdeploy/runtime/runtime.cc(293)::CreateOrtBackend Runtime initialized with Backend::ORT in Device::CPU./workspace//PaddleSpeech/runtime/engine/vad/nnet/vad.cc(137)::Initialize init done.[SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [STA] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [END] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [STA] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SIL] [SIL] [SIL] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [END] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [STA] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [END] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [STA] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SIL] [SIL] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SPE] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [END] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] [SIL] +RTF=0.00774591 +speak start: 0.32 s, end: 2.464 s | speak start: 3.296 s, end: 4.64 s | speak start: 5.408 s, end: 7.872 s | speak start: 8.192 s, end: 10.72 s vad_nnet_main done! - sr = 16000 frame_ms = 32 -threshold = 0.45 +threshold = 0.5 +beam = 0.15 min_silence_duration_ms = 200 -speech_pad_left_ms = 200 +speech_pad_left_ms = 0 speech_pad_right_ms = 0 model_path = ./data/silero_vad/silero_vad.onnx -param_path = (default) -num_cpu_thread = 1(default) -/workspace/zhanghui/PaddleSpeech/runtime/engine/vad/nnet/vad.cc(92)::SetConfig sr=16000 threshold=0.45 frame_ms=32 min_silence_duration_ms=200 speech_pad_left_ms=200 speech_pad_right_ms=0 -[INFO] fastdeploy/runtime/runtime.cc(293)::CreateOrtBackend Runtime initialized with Backend::ORT in Device::CPU. -/workspace/zhanghui/PaddleSpeech/runtime/engine/vad/nnet/vad.cc(141)::Initialize init done. -1 1 1 1 1 1 1 1 1 1 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 1 1 1 1 1 1 1 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 1 1 3 3 3 3 3 3 3 3 3 3 3 3 3 3 1 1 1 1 1 1 1 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 1 1 1 1 1 1 1 4 1 1 1 1 1 1 1 1 2 3 3 3 3 3 3 3 3 3 3 3 3 1 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 1 1 1 1 1 1 1 4 1 1 1 1 1 1 1 1 1 vad_interface_main done! +param_path = (default)num_cpu_thread = 1(default)/workspace//PaddleSpeech/runtime/engine/vad/nnet/vad.cc(88)::SetConfig sr=16 threshold=0.5 beam=0.15 frame_ms=32 min_silence_duration_ms=200 speech_pad_left_ms=0 speech_pad_right_ms=0[INFO] fastdeploy/runtime/runtime.cc(293)::CreateOrtBackend Runtime initialized with Backend::ORT in Device::CPU./workspace//PaddleSpeech/runtime/engine/vad/nnet/vad.cc(137)::Initialize init done. +1 1 1 1 1 1 1 1 1 1 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 1 1 1 1 1 1 1 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 1 1 1 3 3 3 3 3 3 3 3 3 3 3 3 3 1 1 1 1 1 1 1 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 1 1 1 1 1 1 1 4 1 1 1 1 1 1 1 1 1 1 2 3 3 3 3 3 3 3 3 3 3 3 1 1 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 1 1 1 1 1 1 1 4 1 1 1 1 1 1 1 1 1 +RTF=0.00778218 +vad_interface_main done! +``` + +## Android + +When to using on Android, please setup your `NDK` enverment before, then do as below: + +```bash +# cd /path/to/paddlespeech/runtime +bash build_android.sh ``` +## Result + +| Arch | RTF | Runtime Size | +|--|--|--| +| x86_64 | 0.00778218 | | +| arm64-v8a | 0.00744745 | ~10.532MB | + +## Machine Information + +#### x86_64 + The environment as below: ```text @@ -66,82 +142,110 @@ Core(s) per socket: 20 Socket(s): 2 NUMA node(s): 2 Vendor ID: GenuineIntel -CPU family: 6Model: 85Model name: Intel(R) Xeon(R) Gold 6271C CPU @ 2.60GHz +CPU family: 6 +Model: 85 +Model name: Intel(R) Xeon(R) Gold 6271C CPU @ 2.60GHz Stepping: 7 CPU MHz: 2599.998 BogoMIPS: 5199.99 Hypervisor vendor: KVM Virtualization type: full -L1d cache: 32KL1i cache: 32KL2 cache: 1024K +L1d cache: 32K +L1i cache: 32K +L2 cache: 1024K L3 cache: 33792K NUMA node0 CPU(s): 0-39 NUMA node1 CPU(s): 40-79 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon rep_good nopl xtopology nonstop_tsc eagerfpu pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 arat umip pku ospke avx512_vnni spec_ctrl arch_capabilities ``` -## Android +#### arm64-v8a -When to using on Android, please setup your `NDK` enverment before, then do as below: - -```bash -# cd /path/to/paddlespeech/runtime -bash build_android.sh -``` - -## VAD Interface - -For vad interface please see [](../../engine/vad/interface/). - -### Create Handdle - -```c++ -PPSHandle_t PPSVadCreateInstance(const char* conf_path); -``` - -### Destroy Handdle - -```c++ -int PPSVadDestroyInstance(PPSHandle_t instance); -``` - -### Reset Vad State - -```c++ -int PPSVadReset(PPSHandle_t instance); +```text +Processor : AArch64 Processor rev 14 (aarch64) +processor : 0 +BogoMIPS : 38.40 +Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm lrcpc dcpop +CPU implementer : 0x51 +CPU architecture: 8 +CPU variant : 0xd +CPU part : 0x805 +CPU revision : 14 + +processor : 1 +BogoMIPS : 38.40 +Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm lrcpc dcpop +CPU implementer : 0x51 +CPU architecture: 8 +CPU variant : 0xd +CPU part : 0x805 +CPU revision : 14 + +processor : 2 +BogoMIPS : 38.40 +Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm lrcpc dcpop +CPU implementer : 0x51 +CPU architecture: 8 +CPU variant : 0xd +CPU part : 0x805 +CPU revision : 14 + +processor : 3 +BogoMIPS : 38.40 +Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm lrcpc dcpop +CPU implementer : 0x51 +CPU architecture: 8 +CPU variant : 0xd +CPU part : 0x805 +CPU revision : 14 + +processor : 4 +BogoMIPS : 38.40 +Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm lrcpc dcpop +CPU implementer : 0x51 +CPU architecture: 8 +CPU variant : 0xd +CPU part : 0x804 +CPU revision : 14 + +processor : 5 +BogoMIPS : 38.40 +Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm lrcpc dcpop +CPU implementer : 0x51 +CPU architecture: 8 +CPU variant : 0xd +CPU part : 0x804 +CPU revision : 14 + +processor : 6 +BogoMIPS : 38.40 +Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm lrcpc dcpop +CPU implementer : 0x51 +CPU architecture: 8 +CPU variant : 0xd +CPU part : 0x804 +CPU revision : 14 + +processor : 7 +BogoMIPS : 38.40 +Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm lrcpc dcpop +CPU implementer : 0x51 +CPU architecture: 8 +CPU variant : 0xd +CPU part : 0x804 +CPU revision : 14 + +Hardware : Qualcomm Technologies, Inc SM8150 ``` -Reset Vad state before processing next `wav`. -### Get Chunk Size - -```c++ -int PPSVadChunkSizeSamples(PPSHandle_t instance); -``` - -This API will return chunk size in `sample` unit. -When do forward, we need feed `chunk size` samples, except last chunk. - -### Vad Forward - -```c++ -PPSVadState_t PPSVadFeedForward(PPSHandle_t instance, - float* chunk, - int num_element); -``` +## Download Pre-trained ONNX Model -Vad has below states: -```c++ -typedef enum { - PPS_VAD_ILLEGAL = 0, // error - PPS_VAD_SIL, // silence - PPS_VAD_START, // start speech - PPS_VAD_SPEECH, // in speech - PPS_VAD_END, // end speech - PPS_VAD_NUMSTATES, // number of states -} PPSVadState_t; -``` +For developers' testing, model exported by VAD are provided below. Developers can download them directly. -If `PPSVadFeedForward` occur an error will return `PPS_VAD_ILLEGAL` state. +| 模型 | 大小 | 备注 | +| :----------------------------------------------------------- | :---- | :----------------------------------------------------------- | +| [silero-vad](https://bj.bcebos.com/paddlehub/fastdeploy/silero_vad.tgz) | 1.8MB | This model file is sourced from [snakers4/silero-vad](https://github.com/snakers4/silero-vad)，MIT License | ## FastDeploy Runtime @@ -152,15 +256,6 @@ For FastDeploy software and hardware requements, and pre-released library please - 2. [FastDeploy Precompiled Library](https://github.com/PaddlePaddle/FastDeploy/docs/en/build_and_install/download_prebuilt_libraries.md). -## Download Pre-trained ONNX Model - -For developers' testing, model exported by VAD are provided below. Developers can download them directly. - -| 模型 | 大小 | 备注 | -| :----------------------------------------------------------- | :---- | :----------------------------------------------------------- | -| [silero-vad](https://bj.bcebos.com/paddlehub/fastdeploy/silero_vad.tgz) | 1.8MB | This model file is sourced from [snakers4/silero-vad](https://github.com/snakers4/silero-vad)，MIT License | - - ## Reference * https://github.com/snakers4/silero-vad * https://github.com/PaddlePaddle/FastDeploy/blob/develop/examples/audio/silero-vad/README.md