sherpa_onnx_ios 1.10.35

Speech recognition, speech synthesis, and speaker recognition using next-gen Kaldi with onnxruntime without Internet connection.

1.10.35

• Add missing changes about speaker identfication demo for HarmonyOS (#1612)
• Provide sherpa-onnx.aar for Android (#1615)
• Use aar in Android Java demo. (#1616)

1.10.34

• Fix building node-addon package (#1598)
• Update doc links for HarmonyOS (#1601)
• Add on-device real-time ASR demo for HarmonyOS (#1606)
• Add speaker identification APIs for HarmonyOS (#1607)
• Add speaker identification demo for HarmonyOS (#1608)
• Add speaker diarization API for HarmonyOS. (#1609)
• Add speaker diarization demo for HarmonyOS (#1610)

1.10.33

• Add non-streaming ASR support for HarmonyOS. (#1564)
• Add streaming ASR support for HarmonyOS. (#1565)
• Fix building for Android (#1568)
• Publish sherpa_onnx.har for HarmonyOS (#1572)
• Add VAD+ASR demo for HarmonyOS (#1573)
• Fix publishing har packages for HarmonyOS (#1576)
• Add CI to build HAPs for HarmonyOS (#1578)
• Add microphone demo about VAD+ASR for HarmonyOS (#1581)
• Fix getting microphone permission for HarmonyOS VAD+ASR example (#1582)
• Add HarmonyOS support for text-to-speech. (#1584)
• Fix: support both old and new websockets request headers format (#1588)
• Add on-device tex-to-speech (TTS) demo for HarmonyOS (#1590)

1.10.32

• Support cross-compiling for HarmonyOS (#1553)
• HarmonyOS support for VAD. (#1561)
• Fix publishing flutter iOS app to appstore (#1563).

1.10.31

• Publish pre-built wheels for Python 3.13 (#1485)
• Publish pre-built macos xcframework (#1490)
• Fix reading tokens.txt on Windows. (#1497)
• Add two-pass ASR Android APKs for Moonshine models. (#1499)
• Support building GPU-capable sherpa-onnx on Linux aarch64. (#1500)
• Publish pre-built wheels with CUDA support for Linux aarch64. (#1507)
• Export the English TTS model from MeloTTS (#1509)
• Add Lazarus example for Moonshine models. (#1532)
• Add isolate_tts demo (#1529)
• Add WebAssembly example for VAD + Moonshine models. (#1535)
• Add Android APK for streaming Paraformer ASR (#1538)
• Support static build for windows arm64. (#1539)
• Use xcframework for Flutter iOS plugin to support iOS simulators.

1.10.30

• Fix building node-addon for Windows x86. (#1469)
• Begin to support https://github.com/usefulsensors/moonshine (#1470)
• Publish pre-built JNI libs for Linux aarch64 (#1472)
• Add C++ runtime and Python APIs for Moonshine models (#1473)
• Add Kotlin and Java API for Moonshine models (#1474)
• Add C and C++ API for Moonshine models (#1476)
• Add Swift API for Moonshine models. (#1477)
• Add Go API examples for adding punctuations to text. (#1478)
• Add Go API for Moonshine models (#1479)
• Add JavaScript API for Moonshine models (#1480)
• Add Dart API for Moonshine models. (#1481)
• Add Pascal API for Moonshine models (#1482)
• Add C# API for Moonshine models. (#1483)

1.10.29

• Add Go API for offline punctuation models (#1434)
• Support https://huggingface.co/Revai/reverb-diarization-v1 (#1437)
• Add more models for speaker diarization (#1440)
• Add Java API example for hotwords. (#1442)
• Add java android demo (#1454)
• Add C++ API for streaming ASR. (#1455)
• Add C++ API for non-streaming ASR (#1456)
• Handle NaN embeddings in speaker diarization. (#1461)
• Add speaker identification with VAD and non-streaming ASR using ALSA (#1463)
• Support GigaAM CTC models for Russian ASR (#1464)
• Add GigaAM NeMo transducer model for Russian ASR (#1467)

1.10.28

• Fix swift example for generating subtitles. (#1362)
• Allow more online models to load tokens file from the memory (#1352)
• Fix CI errors introduced by supporting loading keywords from buffers (#1366)
• Fix running MeloTTS models on GPU. (#1379)
• Support Parakeet models from NeMo (#1381)
• Export Pyannote speaker segmentation models to onnx (#1382)
• Support Agglomerative clustering. (#1384)
• Add Python API for clustering (#1385)
• support whisper turbo (#1390)
• context_state is not set correctly when previous context is passed after reset (#1393)
• Speaker diarization example with onnxruntime Python API (#1395)
• C++ API for speaker diarization (#1396)
• Python API for speaker diarization. (#1400)
• C API for speaker diarization (#1402)
• docs(nodejs-addon-examples): add guide for pnpm user (#1401)
• Go API for speaker diarization (#1403)
• Swift API for speaker diarization (#1404)
• Update readme to include more external projects using sherpa-onnx (#1405)
• C# API for speaker diarization (#1407)
• JavaScript API (node-addon) for speaker diarization (#1408)
• WebAssembly exmaple for speaker diarization (#1411)
• Handle audio files less than 10s long for speaker diarization. (#1412)
• JavaScript API with WebAssembly for speaker diarization (#1414)
• Kotlin API for speaker diarization (#1415)
• Java API for speaker diarization (#1416)
• Dart API for speaker diarization (#1418)
• Pascal API for speaker diarization (#1420)
• Android JNI support for speaker diarization (#1421)
• Android demo for speaker diarization (#1423)

1.10.27

• Add non-streaming ONNX models for Russian ASR (#1358)
• Fix building Flutter TTS examples for Linux (#1356)
• Support passing utf-8 strings from JavaScript to C++. (#1355)
• Fix sherpa_onnx.go to support returning empty recognition results (#1353)

1.10.26

• Add links to projects using sherpa-onnx. (#1345)
• Support lang/emotion/event results from SenseVoice in Swift API. (#1346)
• Support specifying max speech duration for VAD. (#1348)
• Add APIs about max speech duration in VAD for various programming languages (#1349)

1.10.25

• Allow tokens and hotwords to be loaded from buffered string driectly (#1339)
• Fix computing features for CED audio tagging models. (#1341)
• Preserve previous result as context for next segment (#1335)
• Add Python binding for online punctuation models (#1312)
• Fix vad.Flush(). (#1329)
• Fix wasm app for streaming paraformer (#1328)
• Build websocket related binaries for embedded systems. (#1327)
• Fixed the C api calls and created the TTS project file (#1324)
• Re-implement LM rescore for online transducer (#1231)

1.10.24

• Add VAD and keyword spotting for the Node package with WebAssembly (#1286)
• Fix releasing npm package and fix building Android VAD+ASR example (#1288)
• add Tokens []string, Timestamps []float32, Lang string, Emotion string, Event string (#1277)
• add vad+sense voice example for C API (#1291)
• ADD VAD+ASR example for dart with CircularBuffer. (#1293)
• Fix VAD+ASR example for Dart API. (#1294)
• Avoid SherpaOnnxSpeakerEmbeddingManagerFreeBestMatches freeing null. (#1296)
• Fix releasing wasm app for vad+asr (#1300)
• remove extra files from linux/macos/windows jni libs (#1301)
• two-pass Android APK for SenseVoice (#1302)
• Downgrade flutter sdk versions. (#1305)
• Reduce onnxruntime log output. (#1306)
• Provide prebuilt .jar files for different java versions. (#1307)

1.10.23

• flutter: add lang, emotion, event to OfflineRecognizerResult (#1268)
• Use a separate thread to initialize models for lazarus examples. (#1270)
• Object pascal examples for recording and playing audio with portaudio. (#1271)
• Text to speech API for Object Pascal. (#1273)
• update kotlin api for better release native object and add user-friendly apis. (#1275)
• Update wave-reader.cc to support 8/16/32-bit waves (#1278)
• Add WebAssembly for VAD (#1281)
• WebAssembly example for VAD + Non-streaming ASR (#1284)

1.10.22

• Add Pascal API for reading wave files (#1243)
• Pascal API for streaming ASR (#1246)
• Pascal API for non-streaming ASR (#1247)
• Pascal API for VAD (#1249)
• Add more C API examples (#1255)
• Add emotion, event of SenseVoice. (#1257)
• Support reading multi-channel wave files with 8/16/32-bit encoded samples (#1258)
• Enable IPO only for Release build. (#1261)
• Add Lazarus example for generating subtitles using Silero VAD with non-streaming ASR (#1251)
• Fix looking up OOVs in lexicon.txt for MeloTTS models. (#1266)

1.10.21

• Fix ffmpeg c api example (#1185)
• Fix splitting sentences for MeloTTS (#1186)
• Non-streaming WebSocket client for Java. (#1190)
• Fix copying asset files for flutter examples. (#1191)
• Add Chinese+English tts example for flutter (#1192)
• Add speaker identification and verification exmaple for Dart API (#1194)
• Fix reading non-standard wav files. (#1199)
• Add ReazonSpeech Japanese pre-trained model (#1203)
• Describe how to add new words for MeloTTS models (#1209)
• Remove libonnxruntime_providers_cuda.so as a dependency. (#1210)
• Fix setting SenseVoice language. (#1214)
• Support passing TTS callback in Swift API (#1218)
• Add MeloTTS example for ios (#1223)
• Add online punctuation and casing prediction model for English language (#1224)
• Fix python two pass ASR examples (#1230)
• Add blank penalty for various language bindings

1.10.20

• Add Dart API for audio tagging
• Add Dart API for adding punctuations to text

1.10.19

• Prefix all C API functions with SherpaOnnx

1.10.18

• Fix the case when recognition results contain the symbol ". It caused issues when converting results to a json string.

1.10.17

• Support SenseVoice CTC models.
• Add Dart API for keyword spotter.

1.10.16

• Support zh-en TTS model from MeloTTS.

1.10.15

• Downgrade onnxruntime from v1.18.1 to v1.17.1

1.10.14

• Support whisper large v3
• Update onnxruntime from v1.18.0 to v1.18.1
• Fix invalid utf8 sequence from Whisper for Dart API.

1.10.13

• Update onnxruntime from 1.17.1 to 1.18.0
• Add C# API for Keyword spotting

1.10.12

• Add Flush to VAD so that the last speech segment can be detected. See also https://github.com/k2-fsa/sherpa-onnx/discussions/1077#discussioncomment-9979740

1.10.11

• Support the iOS platform for Flutter.

1.10.10

• Build sherpa-onnx into a single shared library.

1.10.9

• Fix released packages. piper-phonemize was not included in v1.10.8.

1.10.8

• Fix released packages. There should be a lib directory.

1.10.7

• Support Android for Flutter.

1.10.2

• Fix passing C# string to C++

1.10.1

• Enable to stop TTS generation

1.10.0

• Add inverse text normalization

1.9.30

• Add TTS

1.9.29

• Publish with CI

0.0.3

• Fix path separator on Windows.

0.0.2

• Support specifying lib path.

0.0.1

• Initial release.