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feat: add qwen tts voice preferences

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admin
2026-07-23 22:37:12 +08:00
parent 39ff6f6ceb
commit 4902830e6d
7 changed files with 273 additions and 11 deletions
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backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/service/AihrModelSeedService.java
+17 -1
View File
@@ -58,6 +58,12 @@ public class AihrModelSeedService {
@Value("${aihr.ai-runtime.speech-enabled:${AIHR_AI_SPEECH_ENABLED:true}}")
private boolean speechEnabled;
@Value("${aihr.realtime-practice.endpoint:${AIHR_QWEN_REALTIME_ENDPOINT:}}")
private String qwenRealtimeEndpoint;
@Value("${aihr.realtime-practice.api-key:${AIHR_QWEN_REALTIME_API_KEY:}}")
private String qwenRealtimeApiKey;
public List<ProviderResponse> providers() {
List<ProviderResponse> rows = dbProviders();
return rows.isEmpty() ? seedProviders() : mergeProviders(rows);
@@ -267,7 +273,7 @@ public class AihrModelSeedService {
rs.getString("resolved_api_key")
), tenantId(), category);
return rows.stream()
.filter(model -> configured(model.baseUrl(), model.modelName(), model.apiKey()))
.filter(model -> configured(model.baseUrl(), model.modelName(), model.apiKey()) || qwenTtsConfigured(model))
.findFirst();
} catch (DataAccessException e) {
log.debug("aihr speech model db fallback（处理错误已隐藏）");
@@ -282,6 +288,16 @@ public class AihrModelSeedService {
public record SpeechModel(String providerCode, String modelName, String baseUrl, String apiKey) {
}
private boolean qwenTtsConfigured(SpeechModel model) {
return isDashScopeQwenTts(model) && !isBlank(qwenRealtimeEndpoint) && !isBlank(qwenRealtimeApiKey);
}
private static boolean isDashScopeQwenTts(SpeechModel model) {
return model != null
&& ("dashscope".equalsIgnoreCase(model.providerCode()) || "qianwen".equalsIgnoreCase(model.providerCode()))
&& "qwen-audio-3.0-tts-flash".equals(model.modelName());
}
/**
* 供其他模块(如三角色对练)复用的 chat 调用：模型未配置或调用失败返回 empty，由调用方决定兜底。
*/
backend/ruoyi-modules/ruoyi-aihr/src/main/java/org/dromara/aihr/service/AihrSpeechService.java
+141
View File
@@ -6,6 +6,7 @@ import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.dromara.aihr.domain.AihrSpeechDto.VoiceProfile;
import org.dromara.aihr.service.AihrModelSeedService.SpeechModel;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Service;
import java.io.ByteArrayOutputStream;
@@ -33,7 +34,10 @@ public class AihrSpeechService {
private static final Duration CONNECT_TIMEOUT = Duration.ofSeconds(15);
private static final Duration REQUEST_TIMEOUT = Duration.ofSeconds(5);
private static final Duration DASHSCOPE_TTS_TIMEOUT = Duration.ofSeconds(20);
private static final String DEFAULT_TTS_VOICE = "anna";
private static final String QWEN_TTS_MODEL = "qwen-audio-3.0-tts-flash";
private static final String QWEN_TTS_DEFAULT_VOICE = "longanhuan_v3.6";
private static final Pattern SAFE_VOICE = Pattern.compile("[A-Za-z0-9_./:-]{1,200}");
private static final Map<String, String> ROLE_VOICES = Map.of(
"mentor", "speech:shifu-warm-v1:cm3hz4wfz02jy106j6z6muix7:ysvbyzypjgmnceokxedr",
@@ -52,10 +56,25 @@ public class AihrSpeechService {
"cantonese", "请使用自然粤语口语表达",
"sichuanese", "请使用自然四川话口语表达"
);
private static final Map<String, String> QWEN_TTS_ROLE_VOICES = Map.of(
"mentor", QWEN_TTS_DEFAULT_VOICE,
"customer", QWEN_TTS_DEFAULT_VOICE,
"interviewer", QWEN_TTS_DEFAULT_VOICE,
"neutral", QWEN_TTS_DEFAULT_VOICE
);
private static final java.util.Set<String> QWEN_TTS_VOICES = java.util.Set.of(
"longanhuan_v3.6", "longjielidou_v3.6", "loongeva_v3.6", "loongjohn"
);
private final AihrModelSeedService modelService;
private final ObjectMapper objectMapper;
@Value("${aihr.realtime-practice.endpoint:${AIHR_QWEN_REALTIME_ENDPOINT:}}")
private String qwenRealtimeEndpoint;
@Value("${aihr.realtime-practice.api-key:${AIHR_QWEN_REALTIME_API_KEY:}}")
private String qwenRealtimeApiKey;
public boolean asrConfigured() {
return modelService.speechModel("asr").isPresent();
}
@@ -117,6 +136,9 @@ public class AihrSpeechService {
}
SpeechModel runtime = model.get();
try {
if (isDashScopeQwenTts(runtime)) {
return synthesizeDashScopeQwen(runtime, text, voice, voiceProfile);
}
ObjectNode body = buildRequestBody(objectMapper, runtime, text, voice, voiceProfile);
HttpRequest httpRequest = authorized(runtime, "/audio/speech")
.header("Content-Type", "application/json")
@@ -134,6 +156,38 @@ public class AihrSpeechService {
}
}
private Optional<byte[]> synthesizeDashScopeQwen(SpeechModel runtime, String text, String voice, VoiceProfile voiceProfile) {
if (isBlank(qwenRealtimeEndpoint) || isBlank(qwenRealtimeApiKey)) {
return Optional.empty();
}
try {
ObjectNode body = buildDashScopeRequestBody(objectMapper, runtime, text, voiceProfile == null
? new VoiceProfile("neutral", voice, null, null, null)
: withLegacyVoice(voiceProfile, voice));
HttpRequest request = HttpRequest.newBuilder()
.uri(dashScopeSynthesisUri(qwenRealtimeEndpoint))
.timeout(DASHSCOPE_TTS_TIMEOUT)
.header("Content-Type", "application/json")
.header("Authorization", "Bearer " + qwenRealtimeApiKey.trim())
.POST(HttpRequest.BodyPublishers.ofString(objectMapper.writeValueAsString(body)))
.build();
HttpResponse<String> response = client().send(request, HttpResponse.BodyHandlers.ofString());
if (response.statusCode() < 200 || response.statusCode() >= 300) {
log.warn("dashscope tts http {}（外部响应体已隐藏）", response.statusCode());
return Optional.empty();
}
Optional<String> audioUrl = dashScopeAudioUrl(objectMapper, response.body());
if (audioUrl.isEmpty()) {
log.warn("dashscope tts response missing audio url");
return Optional.empty();
}
return downloadDashScopeAudio(audioUrl.get());
} catch (Exception e) {
log.warn("dashscope tts call failed（处理错误已隐藏）");
return Optional.empty();
}
}
static ObjectNode buildRequestBody(ObjectMapper objectMapper, SpeechModel runtime, String text,
String legacyVoice, VoiceProfile voiceProfile) {
String role = normalizedRole(voiceProfile == null ? null : voiceProfile.role());
@@ -142,6 +196,9 @@ public class AihrSpeechService {
if (requestedVoice == null) {
requestedVoice = safeVoice(legacyVoice);
}
if (requestedVoice != null && QWEN_TTS_VOICES.contains(requestedVoice)) {
requestedVoice = null;
}
if (requestedVoice == null && expressiveCosyVoice) {
requestedVoice = ROLE_VOICES.get(role);
}
@@ -165,6 +222,80 @@ public class AihrSpeechService {
return body;
}
static ObjectNode buildDashScopeRequestBody(ObjectMapper objectMapper, SpeechModel runtime, String text,
VoiceProfile voiceProfile) {
String role = normalizedRole(voiceProfile == null ? null : voiceProfile.role());
String emotion = normalizedEmotion(voiceProfile == null ? null : voiceProfile.emotion(), role);
String dialect = normalizedDialect(voiceProfile == null ? null : voiceProfile.dialect());
String requestedVoice = safeVoice(voiceProfile == null ? null : voiceProfile.voice());
String voice = requestedVoice != null && QWEN_TTS_VOICES.contains(requestedVoice)
? requestedVoice
: QWEN_TTS_ROLE_VOICES.getOrDefault(role, QWEN_TTS_DEFAULT_VOICE);
ObjectNode input = objectMapper.createObjectNode();
input.put("text", AihrSensitiveText.forModel(text.trim()));
input.put("voice", voice);
input.put("format", "mp3");
input.put("sample_rate", 24000);
input.put("rate", resolveSpeed(voiceProfile == null ? null : voiceProfile.speed(), emotion));
String instruction = expressivePrompt(emotion, dialect);
if (!instruction.isBlank()) {
input.put("instruction", instruction);
}
ObjectNode body = objectMapper.createObjectNode();
body.put("model", runtime == null || isBlank(runtime.modelName()) ? QWEN_TTS_MODEL : runtime.modelName());
body.set("input", input);
return body;
}
static URI dashScopeSynthesisUri(String endpoint) {
URI configured = URI.create(endpoint == null ? "" : endpoint.trim());
String scheme = configured.getScheme();
String authority = configured.getRawAuthority();
if (("https".equalsIgnoreCase(scheme) || "http".equalsIgnoreCase(scheme)) && authority != null && !authority.isBlank()) {
return URI.create(scheme + "://" + authority + "/api/v1/services/audio/tts/SpeechSynthesizer");
}
throw new IllegalArgumentException("invalid DashScope endpoint");
}
static Optional<String> dashScopeAudioUrl(ObjectMapper objectMapper, String responseBody) {
try {
String value = objectMapper.readTree(responseBody == null ? "" : responseBody)
.path("output").path("audio").path("url").asText("").trim();
URI uri = value.isBlank() ? null : URI.create(value);
if (uri == null || !("http".equalsIgnoreCase(uri.getScheme()) || "https".equalsIgnoreCase(uri.getScheme()))
|| uri.getHost() == null || !uri.getHost().endsWith(".oss-cn-beijing.aliyuncs.com")) {
return Optional.empty();
}
return Optional.of(uri.toString());
} catch (Exception e) {
return Optional.empty();
}
}
private Optional<byte[]> downloadDashScopeAudio(String url) {
try {
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create(url))
.timeout(DASHSCOPE_TTS_TIMEOUT)
.GET()
.build();
HttpResponse<byte[]> response = client().send(request, HttpResponse.BodyHandlers.ofByteArray());
if (response.statusCode() < 200 || response.statusCode() >= 300 || response.body().length == 0) {
return Optional.empty();
}
return Optional.of(response.body());
} catch (Exception e) {
return Optional.empty();
}
}
private static VoiceProfile withLegacyVoice(VoiceProfile profile, String legacyVoice) {
if (safeVoice(profile.voice()) != null || safeVoice(legacyVoice) == null) {
return profile;
}
return new VoiceProfile(profile.role(), legacyVoice, profile.speed(), profile.emotion(), profile.dialect());
}
/**
* 硅基流动 voice 格式为 "{model}:{voice}"；调用方只传短名（如 anna/粤语音色名）时自动补模型前缀。
*/
@@ -236,6 +367,12 @@ public class AihrSpeechService {
&& runtime.modelName().toLowerCase(Locale.ROOT).contains("cosyvoice");
}
private static boolean isDashScopeQwenTts(SpeechModel runtime) {
return runtime != null
&& ("dashscope".equalsIgnoreCase(runtime.providerCode()) || "qianwen".equalsIgnoreCase(runtime.providerCode()))
&& QWEN_TTS_MODEL.equals(runtime.modelName());
}
private HttpRequest.Builder authorized(SpeechModel runtime, String path) {
HttpRequest.Builder builder = HttpRequest.newBuilder()
.uri(URI.create(normalizeBaseUrl(runtime.baseUrl()) + path))
@@ -286,6 +423,10 @@ public class AihrSpeechService {
return normalized;
}
private static boolean isBlank(String value) {
return value == null || value.isBlank();
}
private static String truncate(String value) {
if (value == null || value.length() <= 240) {
return value;
backend/ruoyi-modules/ruoyi-aihr/src/test/java/org/dromara/aihr/service/AihrSpeechServiceTest.java
+4
View File
@@ -32,6 +32,9 @@ class AihrSpeechServiceTest {
new VoiceProfile("customer", null, 9.0, "intense", "sichuanese"));
var legacy = AihrSpeechService.buildRequestBody(
mapper, runtime, "普通播报", "alex", null);
var qwenVoiceBeforeSwitch = AihrSpeechService.buildRequestBody(
mapper, runtime, "普通播报", null,
new VoiceProfile("neutral", "longanhuan_v3.6", null, null, null));
assertEquals("speech:shifu-warm-v1:cm3hz4wfz02jy106j6z6muix7:ysvbyzypjgmnceokxedr", mentor.path("voice").asText());
assertEquals(0.88, mentor.path("speed").asDouble());
@@ -41,6 +44,7 @@ class AihrSpeechServiceTest {
assertTrue(customer.path("input").asText().contains("情绪强烈"));
assertTrue(customer.path("input").asText().contains("四川话"));
assertEquals("FunAudioLLM/CosyVoice2-0.5B:alex", legacy.path("voice").asText());
assertEquals("FunAudioLLM/CosyVoice2-0.5B:anna", qwenVoiceBeforeSwitch.path("voice").asText());
assertFalse(legacy.has("speed"));
assertFalse(legacy.path("input").asText().contains("<|endofprompt|>"));
}
mobile-uni/src/pages/user/profile/index.vue
+51
View File
@@ -271,6 +271,16 @@
</view>
<text class="display-note">切换后同步到今日、练、问、我全部页面，并自动保存。</text>
</template>
<view v-if="loggedIn" class="voice-preference-row">
<view class="display-heading-copy">
<text class="menu-item-title">AI 播报音色</text>
<text class="menu-item-desc">{{ currentTtsVoiceLabel }} · 对练情绪和语速仍会保留</text>
</view>
<picker :range="qwenTtsVoiceOptions" range-key="label" :value="ttsVoiceOptionIndex" @change="changeTtsVoice">
<view class="voice-picker-value">{{ currentTtsVoiceLabel }} <uni-icons type="right" size="12" color="#94a3b8" /></view>
</picker>
</view>
</view>
</view>
</template>
@@ -297,6 +307,12 @@ import {
import { getCompetencyProfile, getPracticeHistory, getPromotionEvidence } from '@/services/practice';
import { resetPageScroll } from '@/services/navigation';
import { ensureEmployeePosition } from '@/services/position';
import {
getTtsVoicePreference,
qwenTtsVoiceOptions,
setTtsVoicePreference,
type TtsVoicePreference
} from '@/services/tts-voice-preference';
const loggedIn = ref(false);
const phone = ref('');
@@ -313,9 +329,14 @@ const evidence = ref<PromotionEvidence | null>(null);
const positionProfile = ref(getSelectedPositionProfile());
const supervisorLearning = ref(false);
const fontSize = ref<AppFontSize>(getAppFontSize());
const ttsVoice = ref<TtsVoicePreference>('');
const currentFontSizeLabel = computed(() =>
appFontSizeOptions.find((item) => item.value === fontSize.value)?.label || '标准'
);
const ttsVoiceOptionIndex = computed(() => Math.max(0, qwenTtsVoiceOptions.findIndex((item) => item.value === ttsVoice.value)));
const currentTtsVoiceLabel = computed(() =>
qwenTtsVoiceOptions[ttsVoiceOptionIndex.value]?.label || '跟随场景'
);
const maskedPhone = computed(() => {
const value = phone.value.trim();
if (!value) return '未登录';
@@ -333,6 +354,7 @@ const refreshAuth = () => {
positionProfile.value = getSelectedPositionProfile();
supervisorLearning.value = isSupervisorLearnerMode();
fontSize.value = getAppFontSize();
ttsVoice.value = getTtsVoicePreference(auth.tenantId, auth.phone);
};
const changeFontSize = (value: AppFontSize) => {
@@ -340,6 +362,13 @@ const changeFontSize = (value: AppFontSize) => {
uni.showToast({ title: `已切换为${currentFontSizeLabel.value}`, icon: 'none' });
};
const changeTtsVoice = (event: { detail?: { value?: string | number } }) => {
const option = qwenTtsVoiceOptions[Number(event.detail?.value)];
const auth = getAuth();
ttsVoice.value = setTtsVoicePreference(auth.tenantId, auth.phone, option?.value);
uni.showToast({ title: `已切换为${currentTtsVoiceLabel.value}`, icon: 'none' });
};
const returnToSupervisor = () => {
leaveSupervisorLearnerMode();
supervisorLearning.value = false;
@@ -650,6 +679,28 @@ onShow(() => {
box-shadow: 0 4px 12px rgba(24, 34, 48, 0.08);
}
.voice-preference-row {
display: flex;
align-items: center;
justify-content: space-between;
gap: 12px;
padding-top: 12px;
border-top: 1px solid var(--employee-line);
}
.voice-picker-value {
display: flex;
align-items: center;
gap: 3px;
max-width: 150px;
padding: 8px 10px;
border: 1px solid #e3e6ea;
border-radius: 10px;
color: var(--employee-text);
font-size: 12px;
white-space: nowrap;
}
.profile-summary {
border-color: var(--employee-line);
}
mobile-uni/src/services/speech.ts
+15 -8
View File
@@ -1,6 +1,8 @@
import type { AsrResponse, PracticeTtsContext, SpeechPlaybackStatus, SpeechSelectedFile, SpeechVoiceProfile, TtsResponse } from '@/types/api';
import { apiRequest, apiUrl, authHeaders, readTextPayload } from './api';
import { getAuth } from './auth';
import type { SpeechCapture } from './speech-capture';
import { applyTtsVoicePreference, getTtsVoicePreference } from './tts-voice-preference';
const audioExtensions = ['.mp3', '.wav', '.m4a', '.webm', '.aac', '.ogg'];
@@ -103,11 +105,16 @@ export const transcribeSpeechCapture = (
? transcribeSpeechBlob(capture.blob, filename, registerAbort)
: transcribeSpeechFile(capture.file, registerAbort);
export const resolveTtsVoiceProfile = (voiceProfile?: SpeechVoiceProfile) => {
const auth = getAuth();
return applyTtsVoicePreference(voiceProfile, getTtsVoicePreference(auth.tenantId, auth.phone));
};
export const synthesizeSpeech = (text: string, voiceProfile?: SpeechVoiceProfile, practiceContext?: PracticeTtsContext) =>
apiRequest<TtsResponse>({
url: '/api/ai/tts',
method: 'POST',
data: { text: text.trim().slice(0, 300), voiceProfile, practiceContext },
data: { text: text.trim().slice(0, 300), voiceProfile: resolveTtsVoiceProfile(voiceProfile), practiceContext },
timeout: 60000
});
@@ -221,8 +228,8 @@ export const createSpeechPlaybackController = (
stop();
const value = text.trim();
if (!value) return;
const profile = voiceProfile || defaultVoiceProfile;
const sourceKey = cacheKey(value, profile, practiceContext);
const effectiveProfile = resolveTtsVoiceProfile(voiceProfile || defaultVoiceProfile);
const sourceKey = cacheKey(value, effectiveProfile, practiceContext);
const currentGeneration = generation;
publish(key, 'loading');
try {
@@ -233,7 +240,7 @@ export const createSpeechPlaybackController = (
playAudioSource(key, cachedSource, sourceKey, currentGeneration);
return;
}
const result = await synthesizeSpeech(value, profile, practiceContext);
const result = await synthesizeSpeech(value, effectiveProfile, practiceContext);
if (currentGeneration !== generation || activeKey !== key) return;
const source = result.inlineAudioUrl || result.audioUrl;
if (!source) throw new Error('语音合成未返回音频');
@@ -246,7 +253,7 @@ export const createSpeechPlaybackController = (
playAudioSource(key, source, sourceKey, currentGeneration);
} catch (error) {
if (currentGeneration !== generation) return;
const browserFallback = playWithBrowserSpeech(key, value, currentGeneration, profile);
const browserFallback = playWithBrowserSpeech(key, value, currentGeneration, effectiveProfile);
if (browserFallback.played) return;
stop();
onError(browserFallback.message || (error instanceof Error ? error.message : '语音生成失败'));
@@ -261,12 +268,12 @@ export const createSpeechPlaybackController = (
const preload = async (text: string, voiceProfile?: SpeechVoiceProfile, practiceContext?: PracticeTtsContext): Promise<string | null> => {
const value = text.trim();
if (!value) return null;
const profile = voiceProfile || defaultVoiceProfile;
const sourceKey = cacheKey(value, profile, practiceContext);
const effectiveProfile = resolveTtsVoiceProfile(voiceProfile || defaultVoiceProfile);
const sourceKey = cacheKey(value, effectiveProfile, practiceContext);
const cached = sourceCache.get(sourceKey);
if (cached) return cached;
try {
const result = await synthesizeSpeech(value, profile, practiceContext);
const result = await synthesizeSpeech(value, effectiveProfile, practiceContext);
const source = result.inlineAudioUrl || result.audioUrl;
if (!source) return null;
sourceCache.set(sourceKey, source);
mobile-uni/src/services/tts-voice-preference.ts
+43
View File
@@ -0,0 +1,43 @@
import type { SpeechVoiceProfile } from '@/types/api';
export const qwenTtsVoiceOptions = [
{ value: '', label: '跟随场景' },
{ value: 'longanhuan_v3.6', label: '龙安欢 · 中文女声' },
{ value: 'longjielidou_v3.6', label: '龙杰里斗 · 童声' },
{ value: 'loongeva_v3.6', label: 'Loongeva · 英文女声' },
{ value: 'loongjohn', label: 'Loongjohn · 英文男声' }
] as const;
export type TtsVoicePreference = typeof qwenTtsVoiceOptions[number]['value'];
const preferenceKeyPrefix = 'aihr_tts_voice';
export const normalizeTtsVoicePreference = (value: unknown): TtsVoicePreference =>
qwenTtsVoiceOptions.some((option) => option.value === value) ? value as TtsVoicePreference : '';
export const ttsVoicePreferenceStorageKey = (tenantId: unknown, phone: unknown) => {
const tenant = String(tenantId || '').trim();
const account = String(phone || '').trim();
return tenant && account ? `${preferenceKeyPrefix}:${tenant}:${account}` : '';
};
export const getTtsVoicePreference = (tenantId: unknown, phone: unknown): TtsVoicePreference => {
const key = ttsVoicePreferenceStorageKey(tenantId, phone);
return key ? normalizeTtsVoicePreference(uni.getStorageSync(key)) : '';
};
export const setTtsVoicePreference = (tenantId: unknown, phone: unknown, value: unknown): TtsVoicePreference => {
const key = ttsVoicePreferenceStorageKey(tenantId, phone);
const normalized = normalizeTtsVoicePreference(value);
if (key) uni.setStorageSync(key, normalized);
return normalized;
};
export const applyTtsVoicePreference = (
profile: SpeechVoiceProfile | undefined,
preference: unknown
): SpeechVoiceProfile | undefined => {
const voice = normalizeTtsVoicePreference(preference);
if (!voice) return profile;
return { ...(profile || { role: 'neutral' }), voice };
};
mobile-uni/tests/tts-voice-preference.test.mjs
+2 -2
View File
@@ -39,10 +39,10 @@ test('全局选择只覆盖 voice，保留场景角色、情绪、语速和方
const profile = { role: 'customer', emotion: 'intense', speed: 1.12, dialect: 'sichuanese' };
assert.deepEqual(
runtime.applyTtsVoicePreference(profile, 'longanhuan_v3.6'),
JSON.parse(JSON.stringify(runtime.applyTtsVoicePreference(profile, 'longanhuan_v3.6'))),
{ ...profile, voice: 'longanhuan_v3.6' }
);
assert.deepEqual(runtime.applyTtsVoicePreference(profile, ''), profile);
assert.deepEqual(JSON.parse(JSON.stringify(runtime.applyTtsVoicePreference(profile, ''))), profile);
});
test('语音播放链路在合成前统一注入全局音色，且缓存键包含处理后的 profile', async () => {