Tts.kt
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// Copyright (c) 2023 Xiaomi Corporation
package com.k2fsa.sherpa.onnx
import android.content.res.AssetManager
data class OfflineTtsVitsModelConfig(
var model: String = "",
var lexicon: String = "",
var tokens: String = "",
var dataDir: String = "",
var dictDir: String = "",
var noiseScale: Float = 0.667f,
var noiseScaleW: Float = 0.8f,
var lengthScale: Float = 1.0f,
)
data class OfflineTtsMatchaModelConfig(
var acousticModel: String = "",
var vocoder: String = "",
var lexicon: String = "",
var tokens: String = "",
var dataDir: String = "",
var dictDir: String = "",
var noiseScale: Float = 1.0f,
var lengthScale: Float = 1.0f,
)
data class OfflineTtsKokoroModelConfig(
var model: String = "",
var voices: String = "",
var tokens: String = "",
var dataDir: String = "",
var lexicon: String = "",
var lang: String = "",
var dictDir: String = "",
var lengthScale: Float = 1.0f,
)
data class OfflineTtsKittenModelConfig(
var model: String = "",
var voices: String = "",
var tokens: String = "",
var dataDir: String = "",
var lengthScale: Float = 1.0f,
)
data class OfflineTtsModelConfig(
var vits: OfflineTtsVitsModelConfig = OfflineTtsVitsModelConfig(),
var matcha: OfflineTtsMatchaModelConfig = OfflineTtsMatchaModelConfig(),
var kokoro: OfflineTtsKokoroModelConfig = OfflineTtsKokoroModelConfig(),
var kitten: OfflineTtsKittenModelConfig = OfflineTtsKittenModelConfig(),
var numThreads: Int = 1,
var debug: Boolean = false,
var provider: String = "cpu",
)
data class OfflineTtsConfig(
var model: OfflineTtsModelConfig = OfflineTtsModelConfig(),
var ruleFsts: String = "",
var ruleFars: String = "",
var maxNumSentences: Int = 1,
var silenceScale: Float = 0.2f,
)
class GeneratedAudio(
val samples: FloatArray,
val sampleRate: Int,
) {
fun save(filename: String) =
saveImpl(filename = filename, samples = samples, sampleRate = sampleRate)
private external fun saveImpl(
filename: String,
samples: FloatArray,
sampleRate: Int
): Boolean
}
class OfflineTts(
assetManager: AssetManager? = null,
var config: OfflineTtsConfig,
) {
private var ptr: Long
init {
ptr = if (assetManager != null) {
newFromAsset(assetManager, config)
} else {
newFromFile(config)
}
}
fun sampleRate() = getSampleRate(ptr)
fun numSpeakers() = getNumSpeakers(ptr)
fun generate(
text: String,
sid: Int = 0,
speed: Float = 1.0f
): GeneratedAudio {
val objArray = generateImpl(ptr, text = text, sid = sid, speed = speed)
return GeneratedAudio(
samples = objArray[0] as FloatArray,
sampleRate = objArray[1] as Int
)
}
fun generateWithCallback(
text: String,
sid: Int = 0,
speed: Float = 1.0f,
callback: (samples: FloatArray) -> Int
): GeneratedAudio {
val objArray = generateWithCallbackImpl(
ptr,
text = text,
sid = sid,
speed = speed,
callback = callback
)
return GeneratedAudio(
samples = objArray[0] as FloatArray,
sampleRate = objArray[1] as Int
)
}
fun allocate(assetManager: AssetManager? = null) {
if (ptr == 0L) {
ptr = if (assetManager != null) {
newFromAsset(assetManager, config)
} else {
newFromFile(config)
}
}
}
fun free() {
if (ptr != 0L) {
delete(ptr)
ptr = 0
}
}
protected fun finalize() {
if (ptr != 0L) {
delete(ptr)
ptr = 0
}
}
fun release() = finalize()
private external fun newFromAsset(
assetManager: AssetManager,
config: OfflineTtsConfig,
): Long
private external fun newFromFile(
config: OfflineTtsConfig,
): Long
private external fun delete(ptr: Long)
private external fun getSampleRate(ptr: Long): Int
private external fun getNumSpeakers(ptr: Long): Int
// The returned array has two entries:
// - the first entry is an 1-D float array containing audio samples.
// Each sample is normalized to the range [-1, 1]
// - the second entry is the sample rate
private external fun generateImpl(
ptr: Long,
text: String,
sid: Int = 0,
speed: Float = 1.0f
): Array<Any>
private external fun generateWithCallbackImpl(
ptr: Long,
text: String,
sid: Int = 0,
speed: Float = 1.0f,
callback: (samples: FloatArray) -> Int
): Array<Any>
companion object {
init {
System.loadLibrary("sherpa-onnx-jni")
}
}
}
// please refer to
// https://k2-fsa.github.io/sherpa/onnx/tts/pretrained_models/index.html
// to download models
fun getOfflineTtsConfig(
modelDir: String,
modelName: String, // for VITS
acousticModelName: String, // for Matcha
vocoder: String, // for Matcha
voices: String, // for Kokoro or kitten
lexicon: String,
dataDir: String,
dictDir: String,
ruleFsts: String,
ruleFars: String,
numThreads: Int? = null,
isKitten: Boolean = false
): OfflineTtsConfig {
// For Matcha TTS, please set
// acousticModelName, vocoder
// For Kokoro TTS, please set
// modelName, voices
// For Kitten TTS, please set
// modelName, voices, isKitten
// For VITS, please set
// modelName
val numberOfThreads = if (numThreads != null) {
numThreads
} else if (voices.isNotEmpty()) {
// for Kokoro and Kitten TTS models, we use more threads
4
} else {
2
}
if (modelName.isEmpty() && acousticModelName.isEmpty()) {
throw IllegalArgumentException("Please specify a TTS model")
}
if (modelName.isNotEmpty() && acousticModelName.isNotEmpty()) {
throw IllegalArgumentException("Please specify either a VITS or a Matcha model, but not both")
}
if (acousticModelName.isNotEmpty() && vocoder.isEmpty()) {
throw IllegalArgumentException("Please provide vocoder for Matcha TTS")
}
val vits = if (modelName.isNotEmpty() && voices.isEmpty()) {
OfflineTtsVitsModelConfig(
model = "$modelDir/$modelName",
lexicon = "$modelDir/$lexicon",
tokens = "$modelDir/tokens.txt",
dataDir = dataDir,
dictDir = dictDir,
)
} else {
OfflineTtsVitsModelConfig()
}
val matcha = if (acousticModelName.isNotEmpty()) {
OfflineTtsMatchaModelConfig(
acousticModel = "$modelDir/$acousticModelName",
vocoder = vocoder,
lexicon = "$modelDir/$lexicon",
tokens = "$modelDir/tokens.txt",
dictDir = dictDir,
dataDir = dataDir,
)
} else {
OfflineTtsMatchaModelConfig()
}
val kokoro = if (voices.isNotEmpty() && !isKitten) {
OfflineTtsKokoroModelConfig(
model = "$modelDir/$modelName",
voices = "$modelDir/$voices",
tokens = "$modelDir/tokens.txt",
dataDir = dataDir,
lexicon = when {
lexicon == "" -> lexicon
"," in lexicon -> lexicon
else -> "$modelDir/$lexicon"
},
dictDir = dictDir,
)
} else {
OfflineTtsKokoroModelConfig()
}
val kitten = if (isKitten) {
OfflineTtsKittenModelConfig(
model = "$modelDir/$modelName",
voices = "$modelDir/$voices",
tokens = "$modelDir/tokens.txt",
dataDir = dataDir,
)
} else {
OfflineTtsKittenModelConfig()
}
return OfflineTtsConfig(
model = OfflineTtsModelConfig(
vits = vits,
matcha = matcha,
kokoro = kokoro,
kitten = kitten,
numThreads = numberOfThreads,
debug = true,
provider = "cpu",
),
ruleFsts = ruleFsts,
ruleFars = ruleFars,
)
}