add text chunking for long-form generation (Fixes #4)

This commit is contained in:
ANLGBOY
2025-11-19 18:08:30 +09:00
parent d31536d9fc
commit c31b6745e4
30 changed files with 1813 additions and 102 deletions

View File

@@ -15,6 +15,8 @@ import java.nio.file.Files;
import java.nio.file.Paths;
import java.text.Normalizer;
import java.util.*;
import java.util.regex.Pattern;
import java.util.regex.Matcher;
/**
* Configuration classes
@@ -152,7 +154,7 @@ class TextToSpeech {
this.ldim = config.ttl.latentDim;
}
public TTSResult call(List<String> textList, Style style, int totalStep, OrtEnvironment env)
private TTSResult _infer(List<String> textList, Style style, int totalStep, OrtEnvironment env)
throws OrtException {
int bsz = textList.size();
@@ -296,6 +298,57 @@ class TextToSpeech {
return new NoisyLatentResult(noisyLatent, latentMask);
}
/**
* Synthesize speech from a single text with automatic chunking
*/
public TTSResult call(String text, Style style, int totalStep, float silenceDuration, OrtEnvironment env)
throws OrtException {
List<String> chunks = Helper.chunkText(text, 0);
List<Float> wavCat = new ArrayList<>();
float durCat = 0.0f;
for (int i = 0; i < chunks.size(); i++) {
TTSResult result = _infer(Arrays.asList(chunks.get(i)), style, totalStep, env);
float dur = result.duration[0];
int wavLen = (int) (sampleRate * dur);
float[] wavChunk = new float[wavLen];
System.arraycopy(result.wav, 0, wavChunk, 0, Math.min(wavLen, result.wav.length));
if (i == 0) {
for (float val : wavChunk) {
wavCat.add(val);
}
durCat = dur;
} else {
int silenceLen = (int) (silenceDuration * sampleRate);
for (int j = 0; j < silenceLen; j++) {
wavCat.add(0.0f);
}
for (float val : wavChunk) {
wavCat.add(val);
}
durCat += silenceDuration + dur;
}
}
float[] wavArray = new float[wavCat.size()];
for (int i = 0; i < wavCat.size(); i++) {
wavArray[i] = wavCat.get(i);
}
return new TTSResult(wavArray, new float[]{durCat});
}
/**
* Batch synthesize speech from multiple texts
*/
public TTSResult batch(List<String> textList, Style style, int totalStep, OrtEnvironment env)
throws OrtException {
return _infer(textList, style, totalStep, env);
}
public void close() throws OrtException {
if (dpSession != null) dpSession.close();
if (textEncSession != null) textEncSession.close();
@@ -353,6 +406,156 @@ class NoisyLatentResult {
*/
public class Helper {
private static final int MAX_CHUNK_LENGTH = 300;
private static final String[] ABBREVIATIONS = {
"Dr.", "Mr.", "Mrs.", "Ms.", "Prof.", "Sr.", "Jr.",
"St.", "Ave.", "Rd.", "Blvd.", "Dept.", "Inc.", "Ltd.",
"Co.", "Corp.", "etc.", "vs.", "i.e.", "e.g.", "Ph.D."
};
/**
* Chunk text into smaller segments based on paragraphs and sentences
*/
public static List<String> chunkText(String text, int maxLen) {
if (maxLen == 0) {
maxLen = MAX_CHUNK_LENGTH;
}
text = text.trim();
if (text.isEmpty()) {
return Arrays.asList("");
}
// Split by paragraphs
String[] paragraphs = text.split("\\n\\s*\\n");
List<String> chunks = new ArrayList<>();
for (String para : paragraphs) {
para = para.trim();
if (para.isEmpty()) {
continue;
}
if (para.length() <= maxLen) {
chunks.add(para);
continue;
}
// Split by sentences
List<String> sentences = splitSentences(para);
StringBuilder current = new StringBuilder();
int currentLen = 0;
for (String sentence : sentences) {
sentence = sentence.trim();
if (sentence.isEmpty()) {
continue;
}
int sentenceLen = sentence.length();
if (sentenceLen > maxLen) {
// If sentence is longer than maxLen, split by comma or space
if (current.length() > 0) {
chunks.add(current.toString().trim());
current.setLength(0);
currentLen = 0;
}
// Try splitting by comma
String[] parts = sentence.split(",");
for (String part : parts) {
part = part.trim();
if (part.isEmpty()) {
continue;
}
int partLen = part.length();
if (partLen > maxLen) {
// Split by space as last resort
String[] words = part.split("\\s+");
StringBuilder wordChunk = new StringBuilder();
int wordChunkLen = 0;
for (String word : words) {
int wordLen = word.length();
if (wordChunkLen + wordLen + 1 > maxLen && wordChunk.length() > 0) {
chunks.add(wordChunk.toString().trim());
wordChunk.setLength(0);
wordChunkLen = 0;
}
if (wordChunk.length() > 0) {
wordChunk.append(" ");
wordChunkLen++;
}
wordChunk.append(word);
wordChunkLen += wordLen;
}
if (wordChunk.length() > 0) {
chunks.add(wordChunk.toString().trim());
}
} else {
if (currentLen + partLen + 1 > maxLen && current.length() > 0) {
chunks.add(current.toString().trim());
current.setLength(0);
currentLen = 0;
}
if (current.length() > 0) {
current.append(", ");
currentLen += 2;
}
current.append(part);
currentLen += partLen;
}
}
continue;
}
if (currentLen + sentenceLen + 1 > maxLen && current.length() > 0) {
chunks.add(current.toString().trim());
current.setLength(0);
currentLen = 0;
}
if (current.length() > 0) {
current.append(" ");
currentLen++;
}
current.append(sentence);
currentLen += sentenceLen;
}
if (current.length() > 0) {
chunks.add(current.toString().trim());
}
}
if (chunks.isEmpty()) {
return Arrays.asList("");
}
return chunks;
}
/**
* Split text into sentences, avoiding common abbreviations
*/
private static List<String> splitSentences(String text) {
// Build pattern that avoids abbreviations
StringBuilder abbrevPattern = new StringBuilder();
for (int i = 0; i < ABBREVIATIONS.length; i++) {
if (i > 0) abbrevPattern.append("|");
abbrevPattern.append(Pattern.quote(ABBREVIATIONS[i]));
}
// Match sentence endings, but not abbreviations
String patternStr = "(?<!(?:" + abbrevPattern.toString() + "))(?<=[.!?])\\s+";
Pattern pattern = Pattern.compile(patternStr);
return Arrays.asList(pattern.split(text));
}
/**
* Load voice style from JSON files
*/