ManySpeech.SpeechFeatures
1.1.5
See the version list below for details.
dotnet add package ManySpeech.SpeechFeatures --version 1.1.5
NuGet\Install-Package ManySpeech.SpeechFeatures -Version 1.1.5
<PackageReference Include="ManySpeech.SpeechFeatures" Version="1.1.5" />
<PackageVersion Include="ManySpeech.SpeechFeatures" Version="1.1.5" />
<PackageReference Include="ManySpeech.SpeechFeatures" />
paket add ManySpeech.SpeechFeatures --version 1.1.5
#r "nuget: ManySpeech.SpeechFeatures, 1.1.5"
#:package ManySpeech.SpeechFeatures@1.1.5
#addin nuget:?package=ManySpeech.SpeechFeatures&version=1.1.5
#tool nuget:?package=ManySpeech.SpeechFeatures&version=1.1.5
Speech feature extraction, suitable for speech recognition
eg. extracting kaldi fbank,whisper feature.
Product | Versions Compatible and additional computed target framework versions. |
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.NET | net5.0 was computed. net5.0-windows was computed. net6.0 is compatible. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 is compatible. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. net8.0 is compatible. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. net8.0-windows10.0.19041 is compatible. net9.0 is compatible. net9.0-android was computed. net9.0-browser was computed. net9.0-ios was computed. net9.0-maccatalyst was computed. net9.0-macos was computed. net9.0-tvos was computed. net9.0-windows was computed. net10.0 was computed. net10.0-android was computed. net10.0-browser was computed. net10.0-ios was computed. net10.0-maccatalyst was computed. net10.0-macos was computed. net10.0-tvos was computed. net10.0-windows was computed. |
.NET Core | netcoreapp2.0 was computed. netcoreapp2.1 is compatible. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 is compatible. |
.NET Standard | netstandard2.0 is compatible. netstandard2.1 is compatible. |
.NET Framework | net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 is compatible. net48 is compatible. net481 was computed. |
MonoAndroid | monoandroid was computed. |
MonoMac | monomac was computed. |
MonoTouch | monotouch was computed. |
Tizen | tizen40 was computed. tizen60 was computed. |
Xamarin.iOS | xamarinios was computed. |
Xamarin.Mac | xamarinmac was computed. |
Xamarin.TVOS | xamarintvos was computed. |
Xamarin.WatchOS | xamarinwatchos was computed. |
This package has no dependencies.
NuGet packages (6)
Showing the top 5 NuGet packages that depend on ManySpeech.SpeechFeatures:
Package | Downloads |
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ManySpeech.AliParaformerAsr
c# library for decoding paraformer, sensevoice Models,used in speech recognition (ASR).Paraformer is an efficient non autoregressive end-to-end speech recognition framework proposed by the speech team at Damo Institute. This project is a Paraformer Chinese universal speech recognition model, which uses tens of thousands of hours of industrial grade annotated audio for model training to ensure the universal recognition effect of the model. The model can be applied to scenarios such as voice input methods, voice navigation, and intelligent meeting minutes. Accuracy: High. |
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ManySpeech.AliFsmnVad
16k Universal VAD Model: Can be used to detect the start and end time points of effective speech in long speech segments FSMN Monochrome VAD is an efficient speech endpoint detection model proposed by the Speech Team of Damo Institute. It is used to detect the start and end time information of valid speech in input audio, and input the detected valid audio segments into the recognition engine for recognition, reducing recognition errors caused by invalid speech. |
|
ManySpeech.K2TransducerAsr
c# library for decoding K2 transducer Models,used in auto speech recognition (ASR) |
|
ManySpeech.FireRedAsr
c# library for decoding FireRedASR's AED-L Model,used in speech recognition (ASR).FireRedASR is a family of open-source industrial-grade automatic speech recognition (ASR) models supporting Mandarin, Chinese dialects and English, achieving a new state-of-the-art (SOTA) on public Mandarin ASR benchmarks, while also offering outstanding singing lyrics recognition capability. |
|
ManySpeech.WenetAsr
C# library for decoding the Wenet ASR onnx model,used in speech recognition (ASR). Wenet ASR is a family of open-source industrial-grade automatic speech recognition (ASR) models supporting Mandarin and English, excellent ability. |
GitHub repositories
This package is not used by any popular GitHub repositories.