Add context biasing for mobile (#568)
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@@ -85,7 +85,7 @@ class SherpaOnnx(
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acceptWaveform(ptr, samples, sampleRate)
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fun inputFinished() = inputFinished(ptr)
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fun reset(recreate: Boolean = false) = reset(ptr, recreate = recreate)
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fun reset(recreate: Boolean = false, hotwords: String = "") = reset(ptr, recreate, hotwords)
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fun decode() = decode(ptr)
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fun isEndpoint(): Boolean = isEndpoint(ptr)
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fun isReady(): Boolean = isReady(ptr)
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@@ -93,6 +93,9 @@ class SherpaOnnx(
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val text: String
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get() = getText(ptr)
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val tokens: Array<String>
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get() = getTokens(ptr)
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private external fun delete(ptr: Long)
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private external fun new(
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@@ -107,10 +110,11 @@ class SherpaOnnx(
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private external fun acceptWaveform(ptr: Long, samples: FloatArray, sampleRate: Int)
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private external fun inputFinished(ptr: Long)
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private external fun getText(ptr: Long): String
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private external fun reset(ptr: Long, recreate: Boolean)
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private external fun reset(ptr: Long, recreate: Boolean, hotwords: String)
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private external fun decode(ptr: Long)
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private external fun isEndpoint(ptr: Long): Boolean
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private external fun isReady(ptr: Long): Boolean
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private external fun getTokens(ptr: Long): Array<String>
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companion object {
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init {
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@@ -120,7 +120,7 @@ class SherpaOnnx(
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acceptWaveform(ptr, samples, sampleRate)
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fun inputFinished() = inputFinished(ptr)
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fun reset(recreate: Boolean = false) = reset(ptr, recreate = recreate)
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fun reset(recreate: Boolean = false, hotwords: String = "") = reset(ptr, recreate, hotwords)
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fun decode() = decode(ptr)
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fun isEndpoint(): Boolean = isEndpoint(ptr)
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fun isReady(): Boolean = isReady(ptr)
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@@ -128,6 +128,9 @@ class SherpaOnnx(
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val text: String
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get() = getText(ptr)
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val tokens: Array<String>
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get() = getTokens(ptr)
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private external fun delete(ptr: Long)
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private external fun new(
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@@ -142,10 +145,11 @@ class SherpaOnnx(
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private external fun acceptWaveform(ptr: Long, samples: FloatArray, sampleRate: Int)
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private external fun inputFinished(ptr: Long)
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private external fun getText(ptr: Long): String
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private external fun reset(ptr: Long, recreate: Boolean)
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private external fun reset(ptr: Long, recreate: Boolean, hotwords: String)
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private external fun decode(ptr: Long)
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private external fun isEndpoint(ptr: Long): Boolean
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private external fun isReady(ptr: Long): Boolean
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private external fun getTokens(ptr: Long): Array<String>
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companion object {
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init {
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@@ -76,11 +76,24 @@ class SherpaOnnx {
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bool IsReady() const { return recognizer_.IsReady(stream_.get()); }
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void Reset(bool recreate) {
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if (recreate) {
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stream_ = recognizer_.CreateStream();
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// If keywords is an empty string, it just recreates the decoding stream
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// If keywords is not empty, it will create a new decoding stream with
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// the given keywords appended to the default keywords.
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void Reset(bool recreate, const std::string &keywords = {}) {
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if (keywords.empty()) {
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if (recreate) {
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stream_ = recognizer_.CreateStream();
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} else {
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recognizer_.Reset(stream_.get());
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}
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} else {
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recognizer_.Reset(stream_.get());
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auto stream = recognizer_.CreateStream(keywords);
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// Set new keywords failed, the stream_ will not be updated.
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if (stream != nullptr) {
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stream_ = std::move(stream);
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} else {
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SHERPA_ONNX_LOGE("Failed to set keywords: %s", keywords.c_str());
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}
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}
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}
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@@ -1509,9 +1522,12 @@ JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_SherpaOnnxOffline_delete(
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SHERPA_ONNX_EXTERN_C
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JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_SherpaOnnx_reset(
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JNIEnv *env, jobject /*obj*/, jlong ptr, jboolean recreate) {
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JNIEnv *env, jobject /*obj*/,
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jlong ptr, jboolean recreate, jstring keywords) {
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auto model = reinterpret_cast<sherpa_onnx::SherpaOnnx *>(ptr);
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model->Reset(recreate);
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const char *p_keywords = env->GetStringUTFChars(keywords, nullptr);
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model->Reset(recreate, p_keywords);
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env->ReleaseStringUTFChars(keywords, p_keywords);
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}
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SHERPA_ONNX_EXTERN_C
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@@ -188,7 +188,7 @@ class SherpaOnnxOnlineRecongitionResult {
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class SherpaOnnxRecognizer {
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/// A pointer to the underlying counterpart in C
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let recognizer: OpaquePointer!
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let stream: OpaquePointer!
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var stream: OpaquePointer!
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/// Constructor taking a model config
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init(
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@@ -237,8 +237,23 @@ class SherpaOnnxRecognizer {
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/// Reset the recognizer, which clears the neural network model state
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/// and the state for decoding.
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func reset() {
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Reset(recognizer, stream)
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/// If hotwords is an empty string, it just recreates the decoding stream
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/// If hotwords is not empty, it will create a new decoding stream with
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/// the given hotWords appended to the default hotwords.
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func reset(hotwords: String? = nil) {
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guard let words = hotwords, !words.isEmpty else {
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Reset(recognizer, stream)
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return
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}
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words.withCString { cString in
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let newStream = CreateOnlineStreamWithHotwords(recognizer, cString)
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// lock while release and replace stream
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objc_sync_enter(self)
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DestroyOnlineStream(stream)
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stream = newStream
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objc_sync_exit(self)
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}
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}
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/// Signal that no more audio samples would be available.
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